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| Rank,ID,Title,Authors,Year,Venue,Track,Status,Primary Area,Keywords,Citations,BM25 Score,Combined Score,DOI,URL,PDF,Source,TLDR,Abstract | |
| 1,,TPTU: Task Planning and Tool Usage of Large Language Model-based AI Agents,Jingqing Ruan; Yihong Chen; Bin Zhang; Zhiwei Xu; Tianpeng Bao,2023,arXiv.org,,,,,164,0.000,0.264,10.48550/arXiv.2308.03427,https://www.semanticscholar.org/paper/5ce94181ea702f69c3651dce721d6bd8026b8106,https://arxiv.org/pdf/2308.03427,semantic_scholar,, | |
| 2,,Transforming Conversations with AI—A Comprehensive Study of ChatGPT,Gaurang Bansal; V. Chamola; Amir Hussain; Mohsen Guizani; D. Niyato,2024,Cognitive Computation,,,,,100,0.000,0.243,10.1007/s12559-023-10236-2,https://www.semanticscholar.org/paper/4946299870c72383e64ec63923de62c74094e632,,semantic_scholar,, | |
| 3,,Towards Guaranteed Safe AI: A Framework for Ensuring Robust and Reliable AI Systems,David Dalrymple; J. Skalse; Y. Bengio; Stuart Russell; Max Tegmark,2024,arXiv.org,,,,,91,0.000,0.289,10.48550/arXiv.2405.06624,https://www.semanticscholar.org/paper/d81e8d1d3c8acbcf9755ef470098b9c02adf5963,,semantic_scholar,,"Ensuring that AI systems reliably and robustly avoid harmful or dangerous behaviours is a crucial challenge, especially for AI systems with a high degree of autonomy and general intelligence, or systems used in safety-critical contexts. In this paper, we will introduce and define a family of approac" | |
| 4,,GAIA-2: A Controllable Multi-View Generative World Model for Autonomous Driving,Lloyd Russell; Anthony Hu; Lorenzo Bertoni; George Fedoseev; Jamie Shotton,2025,arXiv.org,,,,,64,0.000,0.248,10.48550/arXiv.2503.20523,https://www.semanticscholar.org/paper/234159e46e429d0ccd3718110861ec81d9c5dfe1,,semantic_scholar,,"Generative models offer a scalable and flexible paradigm for simulating complex environments, yet current approaches fall short in addressing the domain-specific requirements of autonomous driving - such as multi-agent interactions, fine-grained control, and multi-camera consistency. We introduce GA" | |
| 5,,XAI-IDS: Toward Proposing an Explainable Artificial Intelligence Framework for Enhancing Network Intrusion Detection Systems,Osvaldo Arreche; Tanish Guntur; Mustafa Abdallah,2024,Applied Sciences,,,,,51,0.000,0.257,10.3390/app14104170,https://www.semanticscholar.org/paper/6c9e74de76d15f7d3ad18eeaa31ebcad31da5751,https://www.mdpi.com/2076-3417/14/10/4170/pdf?version=1715781831,semantic_scholar,,"The exponential growth of network intrusions necessitates the development of advanced artificial intelligence (AI) techniques for intrusion detection systems (IDSs). However, the reliance on AI for IDSs presents several challenges, including the performance variability of different AI models and the" | |
| 6,,MIMO: Controllable Character Video Synthesis with Spatial Decomposed Modeling,Yifang Men; Yuan Yao; Miaomiao Cui; Liefeng Bo,2024,Computer Vision and Pattern Recognition,,,,,50,0.000,0.188,10.1109/CVPR52734.2025.01973,https://www.semanticscholar.org/paper/37c6633ed3f305d8533b50de404fee6fe6a1b1d5,,semantic_scholar,,"Character video synthesis aims to produce realistic videos of animatable characters within lifelike scenes. As a fundamental problem in the computer vision and graphics community, 3D works typically require multi-view captures for per-case training, which severely limits their applicability of model" | |
| 7,,Electrocardiogram Signals Classification Using Deep-Learning-Based Incorporated Convolutional Neural Network and Long Short-Term Memory Framework,Alaa Eleyan; Ebrahim Alboghbaish,2024,De Computis,,,,,39,0.000,0.196,10.3390/computers13020055,https://www.semanticscholar.org/paper/392769d90f8fe1447f18bb2c7dd3eb721e6a186c,https://www.mdpi.com/2073-431X/13/2/55/pdf?version=1708308814,semantic_scholar,,"Cardiovascular diseases (CVDs) like arrhythmia and heart failure remain the world’s leading cause of death. These conditions can be triggered by high blood pressure, diabetes, and simply the passage of time. The early detection of these heart issues, despite substantial advancements in artificial in" | |
| 8,,PhysTwin: Physics-Informed Reconstruction and Simulation of Deformable Objects from Videos,Hanxiao Jiang; Hao-Yu Hsu; Kaifeng Zhang; Hsin-Ni Yu; Shenlong Wang,2025,arXiv.org,,,,,31,0.000,0.212,10.48550/arXiv.2503.17973,https://www.semanticscholar.org/paper/b05d2376027fb08d43e67b5dd88a07614791e5a5,,semantic_scholar,,"Creating a physical digital twin of a real-world object has immense potential in robotics, content creation, and XR. In this paper, we present PhysTwin, a novel framework that uses sparse videos of dynamic objects under interaction to produce a photo- and physically realistic, real-time interactive " | |
| 9,,A Mean-Field-Game-Integrated MPC-QP Framework for Collision-Free Multi-Vehicle Control,Liancheng Zheng; Xuemei Wang; Feng Li; Zebing Mao; Zhen Tian,2025,Drones,,,,,25,0.000,0.209,10.3390/drones9050375,https://www.semanticscholar.org/paper/9ed6f28992be83302f720a14f38c5bd52aca6a03,,semantic_scholar,,"In recent years, rapid progress in autonomous driving has been achieved through advances in sensing, control, and earning. However, as the complexity of traffic scenarios increases, ensuring safe interaction among vehicles remains a formidable challenge. Recent works combining artificial potential f" | |
| 10,,Exploring Social Posterior Collapse in Variational Autoencoder for Interaction Modeling,Chen Tang; Wei Zhan; M. Tomizuka,2021,Neural Information Processing Systems,,,,,24,0.000,0.127,,https://www.semanticscholar.org/paper/418d6e44dda3327bdf19f079c1bdd54153777657,,semantic_scholar,,Multi-agent behavior modeling and trajectory forecasting are crucial for the safe navigation of autonomous agents in interactive scenarios. Variational Autoencoder (VAE) has been widely applied in multi-agent interaction modeling to generate diverse behavior and learn a low-dimensional representatio | |
| 11,,BIM-VR Framework for Building Information Modelling in Engineering Education,J. Wong; Chun-Chieh Yip; S. Yong; Andy Chan; S. Kok,2020,International Journal of Interactive Mobile Technologies,,,,,24,0.000,0.101,10.3991/ijim.v14i06.13397,https://www.semanticscholar.org/paper/6ef984b2384ec46d20740260acc0452e34d047b7,https://online-journals.org/index.php/i-jim/article/download/13397/6855,semantic_scholar,,"With the advancement of information technology, Building Information Modeling (BIM) is evolving fast and play an essential role in Architecture, Engineering, Construction, Owner and Operators (AECOO) industry. Universities play an important role in the current BIM transition in construction projects" | |
| 12,,PATIENT-\psi: Using Large Language Models to Simulate Patients for Training Mental Health Professionals,Ruiyi Wang; Stephanie Milani; Jamie C. Chiu; S. Eack; Travis Labrum,2024,Conference on Empirical Methods in Natural Language Processing,,,,,23,0.000,0.175,10.48550/arXiv.2405.19660,https://www.semanticscholar.org/paper/4daff69178cdc5b3c0ba3caf56232ed3500dea92,,semantic_scholar,,"Mental illness remains one of the most critical public health issues. Despite its importance, many mental health professionals highlight a disconnect between their training and actual real-world patient practice. To help bridge this gap, we propose PATIENT-\psi, a novel patient simulation framework " | |
| 13,,"A governance framework model for cloud computing: role of AI, security, compliance, and management",Adebola Folorunso; Adeola Adewa; Olufunbi Babalola; Chineme Edg r Nwatu,2024,World Journal of Advanced Research and Reviews,,,,,21,0.000,0.213,10.30574/wjarr.2024.24.2.3513,https://www.semanticscholar.org/paper/54f4c53c637fcd94699d9dfcc754b36387c840c5,,semantic_scholar,,"The rapid adoption of cloud computing has transformed how organizations manage their IT resources, necessitating robust governance frameworks to address the complexities and risks inherent in cloud environments. This review proposes a comprehensive governance framework model that integrates the role" | |
| 14,,When AI Meets Finance (StockAgent): Large Language Model-based Stock Trading in Simulated Real-world Environments,Chong Zhang; Xinyi Liu; Mingyu Jin; Zhongmou Zhang; Lingyao Li,2024,arXiv.org,,,,,21,0.000,0.197,10.48550/arXiv.2407.18957,https://www.semanticscholar.org/paper/c8eabdc81e4c6d972336408d1a0a7dccfddece5f,,semantic_scholar,,"Can AI Agents simulate real-world trading environments to investigate the impact of external factors on stock trading activities (e.g., macroeconomics, policy changes, company fundamentals, and global events)? These factors, which frequently influence trading behaviors, are critical elements in the " | |
| 15,,WorldGPT: A Sora-Inspired Video AI Agent as Rich World Models from Text and Image Inputs,Deshun Yang; Luhui Hu; Yu Tian; Zihao Li; Chris Kelly,2024,arXiv.org,,,,,18,0.000,0.205,10.48550/arXiv.2403.07944,https://www.semanticscholar.org/paper/444936e20c15bbf2734e2024e820707a223aa551,,semantic_scholar,,"Several text-to-video diffusion models have demonstrated commendable capabilities in synthesizing high-quality video content. However, it remains a formidable challenge pertaining to maintaining temporal consistency and ensuring action smoothness throughout the generated sequences. In this paper, we" | |
| 16,,WonderTurbo: Generating Interactive 3D World in 0.72 Seconds,Chaojun Ni; Xiaofeng Wang; Zheng Zhu; Weijie Wang; Haoyun Li,2025,arXiv.org,,,,,16,0.000,0.197,10.48550/arXiv.2504.02261,https://www.semanticscholar.org/paper/d4e8b9144ab96ebde1c64407ca66ecc9705a1cb7,,semantic_scholar,,"Interactive 3D generation is gaining momentum and capturing extensive attention for its potential to create immersive virtual experiences. However, a critical challenge in current 3D generation technologies lies in achieving real-time interactivity. To address this issue, we introduce WonderTurbo, t" | |
| 17,,A Secure IIoT Environment That Integrates AI-Driven Real-Time Short-Term Active and Reactive Load Forecasting with Anomaly Detection: A Real-World Application,Md. Ibne Joha; Md. Minhazur Rahman; Md. Shahriar Nazim; Yeong Min Jang,2024,Italian National Conference on Sensors,,,,,16,0.000,0.193,10.3390/s24237440,https://www.semanticscholar.org/paper/d47574a9aeb6a5f20ece929277c2d088ef46f2bc,https://doi.org/10.3390/s24237440,semantic_scholar,,"The Industrial Internet of Things (IIoT) revolutionizes both industrial and residential operations by integrating AI (artificial intelligence)-driven analytics with real-time monitoring, optimizing energy usage, and significantly enhancing energy efficiency. This study proposes a secure IIoT framewo" | |
| 18,,Explainable AI (XAI) for trustworthy and transparent decision-making: A theoretical framework for AI interpretability,Arunraju Chinnaraju,2025,World Journal of Advanced Engineering Technology and Sciences,,,,,14,0.000,0.276,10.30574/wjaets.2025.14.3.0106,https://www.semanticscholar.org/paper/f29ad386529f7a46aab64d8dae4dbc4186599115,,semantic_scholar,,"Explainable Artificial Intelligence (XAI) has become a critical area of research in addressing the black-box nature of complex AI models, particularly as these systems increasingly influence high-stakes domains such as healthcare, finance, and autonomous systems. This study presents a theoretical fr" | |
| 19,,An Adaptive End-to-End IoT Security Framework Using Explainable AI and LLMs,Sudipto Baral; Sajal Saha; Anwar Haque,2024,World Forum on Internet of Things,,,,,14,0.000,0.211,10.1109/WF-IoT62078.2024.10811456,https://www.semanticscholar.org/paper/8be9280663ffd4f2a36239a7520ecd1e17fa4dc1,http://arxiv.org/pdf/2409.13177,semantic_scholar,,"The exponential growth of the Internet of Things (IoT) has significantly increased the complexity and volume of cybersecurity threats, necessitating the development of advanced, scalable, and interpretable security frameworks. This paper presents an innovative, comprehensive framework for real-time " | |
| 20,,PyRIT: A Framework for Security Risk Identification and Red Teaming in Generative AI System,Gary D. Lopez Munoz; Amanda Minnich; Roman Lutz; Richard Lundeen; Raja Sekhar Rao Dheekonda,2024,CAMLIS,,,,,14,0.000,0.206,10.48550/arXiv.2410.02828,https://www.semanticscholar.org/paper/2160e294fac83b410cdcf7436f74a3c9e77111d3,,semantic_scholar,,"Generative Artificial Intelligence (GenAI) is becoming ubiquitous in our daily lives. The increase in computational power and data availability has led to a proliferation of both single- and multi-modal models. As the GenAI ecosystem matures, the need for extensible and model-agnostic risk identific" | |
| 21,,A Comprehensive Survey on Generative AI for Metaverse: Enabling Immersive Experience,Vinay Chamola; Siva Sai; Animesh Bhargava; Ashis Sahu; Wenchao Jiang,2024,Cognitive Computation,,,,,14,0.000,0.205,10.1007/s12559-024-10342-9,https://www.semanticscholar.org/paper/c1b08d84851789b2c232ab2e65e4440b2a600a13,,semantic_scholar,, | |
| 22,,EARBench: Towards Evaluating Physical Risk Awareness for Task Planning of Foundation Model-based Embodied AI Agents,Zihao Zhu; Bingzhe Wu; Zhengyou Zhang; Lei Han; Qingshan Liu,2024,,,,,,13,0.000,0.192,,https://www.semanticscholar.org/paper/4261bcaa279ba688394e0d6f3a7fe21421dfa301,,semantic_scholar,,"Embodied artificial intelligence (EAI) integrates advanced AI models into physical entities for real-world interaction. The emergence of foundation models as the""brain""of EAI agents for high-level task planning has shown promising results. However, the deployment of these agents in physical environm" | |
| 23,,"FOKE: A Personalized and Explainable Education Framework Integrating Foundation Models, Knowledge Graphs, and Prompt Engineering",Silan Hu; Xiaoning Wang,2024,arXiv.org,,,,,11,0.000,0.179,10.48550/arXiv.2405.03734,https://www.semanticscholar.org/paper/1068c018f40a15999a8d26eb2295c54d69d06dfb,,semantic_scholar,,"Integrating large language models (LLMs) and knowledge graphs (KGs) holds great promise for revolutionizing intelligent education, but challenges remain in achieving personalization, interactivity, and explainability. We propose FOKE, a Forest Of Knowledge and Education framework that synergizes fou" | |
| 24,,Muffin: A Framework Toward Multi-Dimension AI Fairness by Uniting Off-the-Shelf Models,Yi Sheng; Junhuan Yang; Lei Yang; Yiyu Shi; J. Hu,2023,Design Automation Conference,,,,,11,0.000,0.176,10.1109/DAC56929.2023.10247765,https://www.semanticscholar.org/paper/1b1d2dff465071df461dbbc1f98b8f05190b7a3e,https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10987014,semantic_scholar,,"Model fairness (a.k.a., bias) has become one of the most critical problems in a wide range of AI applications. An unfair model in autonomous driving may cause a traffic accident if corner cases (e.g., extreme weather) cannot be fairly regarded; or it will incur healthcare disparities if the AI model" | |
| 25,,TSGAssist: An Interactive Assistant Harnessing LLMs and RAG for Time Series Generation Recommendations and Benchmarking,Yihao Ang; Yifan Bao; Qiang Huang; Anthony K. H. Tung; Zhiyong Huang,2024,Proceedings of the VLDB Endowment,,,,,11,0.000,0.167,10.14778/3685800.3685862,https://www.semanticscholar.org/paper/0468c389719a93b073cddbbb79b31809009ef866,,semantic_scholar,,"Time Series Generation (TSG) is essential in many industries for generating synthetic data that mirrors real-world characteristics. TSGBench has advanced the field by offering comprehensive evaluations and unique insights for selecting suitable TSG methods. However, translating these advancements to" | |
| 26,,FraudX AI: An Interpretable Machine Learning Framework for Credit Card Fraud Detection on Imbalanced Datasets,Nazerke Baisholan; J. E. Dietz; S. Gnatyuk; M. Turdalyuly; Eric T. Matson,2025,De Computis,,,,,10,0.000,0.234,10.3390/computers14040120,https://www.semanticscholar.org/paper/4f49dbda60877ad13aba83df7078acb2e0c4f624,,semantic_scholar,,"Credit card fraud detection is a critical research area due to the significant financial losses and security risks associated with fraudulent activities. This study presents FraudX AI, an ensemble-based framework addressing the challenges in fraud detection, including imbalanced datasets, interpreta" | |
| 27,,IntellAgent: A Multi-Agent Framework for Evaluating Conversational AI Systems,Elad Levi; Ilan Kadar,2025,arXiv.org,,,,,10,0.000,0.232,10.48550/arXiv.2501.11067,https://www.semanticscholar.org/paper/7f1bb453aab994967a93ac7a308f5fefb74d8b95,,semantic_scholar,,"Large Language Models (LLMs) are transforming artificial intelligence, evolving into task-oriented systems capable of autonomous planning and execution. One of the primary applications of LLMs is conversational AI systems, which must navigate multi-turn dialogues, integrate domain-specific APIs, and" | |
| 28,,EpiLearn: A Python Library for Machine Learning in Epidemic Modeling,Zewen Liu; Yunxiao Li; Mingyang Wei; Guancheng Wan; Max S. Y. Lau,2024,arXiv.org,,,,,10,0.000,0.172,10.48550/arXiv.2406.06016,https://www.semanticscholar.org/paper/f1e0a4bf71b4cf7906c2ed42050b45a3e4b7e895,,semantic_scholar,,"EpiLearn is a Python toolkit developed for modeling, simulating, and analyzing epidemic data. Although there exist several packages that also deal with epidemic modeling, they are often restricted to mechanistic models or traditional statistical tools. As machine learning continues to shape the worl" | |
| 29,,Learning Cognitive Features as Complementary for Facial Expression Recognition,Huihui Li; Xiangling Xiao; Xiaoyong Liu; Guihua Wen; Lianqi Liu,2024,International Journal of Intelligent Systems,,,,,10,0.000,0.170,10.1155/2024/7321175,https://www.semanticscholar.org/paper/83ca269f8d5d5b16618b9f25fd835b3c8e8af695,https://doi.org/10.1155/2024/7321175,semantic_scholar,,"Facial expression recognition (FER) has a wide range of applications, including interactive gaming, healthcare, security, and human‐computer interaction systems. Despite the impressive performance of FER based on deep learning methods, it remains challenging in real‐world scenarios due to uncontroll" | |
| 30,,Tell me a story: a framework for critically investigating AI language models,Luke Munn; Leah Henrickson,2024,Journal of Educational Media,,,,,9,0.000,0.219,10.1080/17439884.2024.2327024,https://www.semanticscholar.org/paper/5110be48e825ae8e3bbbd9c81387326b563cc349,https://www.tandfonline.com/doi/pdf/10.1080/17439884.2024.2327024?needAccess=true,semantic_scholar,,"ABSTRACT Large language models are rapidly being rolled out into high-stakes fields like healthcare, law, and education. However, understanding of their design considerations, operational logics, and implicit biases remains limited. How might these black boxes be understood and unpacked? In this art" | |
| 31,,Applying AI and machine learning for predictive stress analysis and morbidity assessment in neural systems: A MATLAB-based framework for detecting and addressing neural dysfunction,J. Chukwunweike; Caleb Kadiri; Akudo Sylveria Williams; Akinsuyi Oluwamayowa; Akinsuyi Samson,2024,World Journal of Advanced Research and Reviews,,,,,9,0.000,0.211,10.30574/wjarr.2024.23.3.2645,https://www.semanticscholar.org/paper/042fa3c032abaef107c4130dc76b3da6c5e2fc79,,semantic_scholar,,"Neural systems are inherently complex and susceptible to dysfunction due to various stressors, leading to significant morbidity. This article presents a novel MATLAB-based framework that leverages artificial intelligence (AI) and machine learning techniques for predictive stress analysis and morbidi" | |
| 32,,AI platform model on 4IR megatrend challenges: complex thinking by active and transformational learning,J. Sanabria-Z; Pamela Olivo,2024,Interactive Technology and Smart Education,,,,,8,0.000,0.223,10.1108/itse-07-2023-0145,https://www.semanticscholar.org/paper/2714a1041bd304454924992b99e4a8c0e63007a5,https://www.emerald.com/insight/content/doi/10.1108/ITSE-07-2023-0145/full/pdf?title=ai-platform-model-on-4ir-megatrend-challenges-complex-thinking-by-active-and-transformational-learning,semantic_scholar,," | |
| Purpose | |
| The objective of this study is to propose a model for the implementation of a technological platform for participants to develop solutions to problems related to the Fourth Industrial Revolution (4IR) megatrends, and taking advantage of artificial intelligence (AI) to develop their complex " | |
| 33,,Advancing Critical Data and AI Literacies Through Authentic and Real-World Assessment Design Using a Data Justice Approach,Federica Picasso; Javiera Atenas; Leo Havemann; Anna Serbati,2024,Open Praxis,,,,,8,0.000,0.222,10.55982/openpraxis.16.3.667,https://www.semanticscholar.org/paper/0340c800419629d4aae19923a7c63a57787dbdf6,,semantic_scholar,,"The development of critical data and artificial intelligence (AI) literacy has become a key focus in current discussions in Higher Education, thus it is necessary to develop and advance capacity building, reflectiveness and awareness across disciplines to critically address the possibilities and cha" | |
| 34,,Position: Interactive Generative Video as Next-Generation Game Engine,Jiwen Yu; Yiran Qin; Haoxuan Che; Quande Liu; Xintao Wang,2025,arXiv.org,,,,,8,0.000,0.205,10.48550/arXiv.2503.17359,https://www.semanticscholar.org/paper/fcfd281145d72d4571fc58b6e670ebc00141d486,,semantic_scholar,,"Modern game development faces significant challenges in creativity and cost due to predetermined content in traditional game engines. Recent breakthroughs in video generation models, capable of synthesizing realistic and interactive virtual environments, present an opportunity to revolutionize game " | |
| 35,,Intertwining the social and the cognitive loops: socially enactive cognition for human-compatible interactive systems,Sebastian Kahl; S. Kopp,2023,Philosophical Transactions of the Royal Society of London. Biological Sciences,,,,,8,0.000,0.153,10.1098/rstb.2021.0474,https://www.semanticscholar.org/paper/7fc361bba54d48433277f8decb7618ee1acb58cb,https://royalsocietypublishing.org/doi/pdf/10.1098/rstb.2021.0474,semantic_scholar,,"It is increasingly important for technical systems to be able to interact flexibly, robustly and fluently with humans in real-world scenarios. However, while current AI systems excel at narrow task competencies, they lack crucial interaction abilities for the adaptive and co-constructed social inter" | |
| 36,,Impairments in Cognitive Control Using a Reverse Visually Guided Reaching Task Following Stroke,C. Lowrey; S. Dukelow; S. Bagg; B. Ritsma; S. Scott,2022,Neurorehabilitation and Neural Repair,,,,,8,0.000,0.125,10.1177/15459683221100510,https://www.semanticscholar.org/paper/96e86184e9282528ac106c9e5a10469bb9c95599,https://journals.sagepub.com/doi/pdf/10.1177/15459683221100510,semantic_scholar,,"Background Cognitive and motor function must work together quickly and seamlessly to allow us to interact with a complex world, but their integration is difficult to assess directly. Interactive technology provides opportunities to assess motor actions requiring cognitive control. Objective To adapt" | |
| 37,,"Dyna-Think: Synergizing Reasoning, Acting, and World Model Simulation in AI Agents",Xiao Yu; Baolin Peng; Ruize Xu; Michel Galley; Hao Cheng,2025,arXiv.org,,,,,7,0.000,0.233,10.48550/arXiv.2506.00320,https://www.semanticscholar.org/paper/0d0b32a5200b37159061d10fbd02aad566fd2b20,,semantic_scholar,,"Recent progress in reasoning with large language models (LLMs), such as DeepSeek-R1, demonstrates impressive capabilities in domains like mathematics and coding, by exhibiting complex cognitive behaviors such as verification, goal decomposition, and self-reflection. However, it is unclear what behav" | |
| 38,,Learning World Models for Interactive Video Generation,Taiye Chen; Xun Hu; Zihan Ding; Chi Jin,2025,arXiv.org,,,,,7,0.000,0.204,10.48550/arXiv.2505.21996,https://www.semanticscholar.org/paper/39f812bf18dc861424e12b894dc3e1ad3cbffe07,,semantic_scholar,,"Foundational world models must be both interactive and preserve spatiotemporal coherence for effective future planning with action choices. However, present models for long video generation have limited inherent world modeling capabilities due to two main challenges: compounding errors and insuffici" | |
| 39,,ThreatLens: LLM-guided Threat Modeling and Test Plan Generation for Hardware Security Verification,Dipayan Saha; Hasan Al Shaikh; Shams Tarek; Farimah Farahmandi,2025,IACR Cryptology ePrint Archive,,,,,7,0.000,0.196,10.48550/arXiv.2505.06821,https://www.semanticscholar.org/paper/7658d4170937b72e11be2c54003c63c5250deabc,,semantic_scholar,,"Current hardware security verification processes predominantly rely on manual threat modeling and test plan generation, which are labor-intensive, error-prone, and struggle to scale with increasing design complexity and evolving attack methodologies. To address these challenges, we propose ThreatLen" | |
| 40,,Adaptive Learning in AI Agents for the Metaverse: The ALMAA Framework,Yina Xia; Seong-Yoon Shin; Hyun-Ae Lee,2024,Applied Sciences,,,,,6,0.000,0.228,10.3390/app142311410,https://www.semanticscholar.org/paper/ba598b27c84f8d00d3456c32f73d39e9f9dfc5d5,,semantic_scholar,,"This study investigates the adaptability of Artificial Intelligence (AI) agents in the Metaverse, focusing on their ability to enhance responsiveness, decision-making, and engagement through the proposed Adaptive Learning Model for AI Agents (ALMAA) framework. The research does not introduce new int" | |
| 41,,"Perception, Trust, Attitudes, and Models: Introducing Children to AI and Machine Learning with Five Software Exhibits",Fred G. Martin; Saniya Vahedian Movahed; James Dimino; Andrew Farrell; Elyas Irankhah,2024,Technical Symposium on Computer Science Education,,,,,6,0.000,0.209,10.1145/3626253.3635512,https://www.semanticscholar.org/paper/56cdd41489acf796220a6be565727e80a9913e0d,,semantic_scholar,,"Artificial intelligence (AI) and machine learning (ML) have a deepening impact in our world. For empowered citizenship and career readiness, elementary and middle school students need to understand these technologies. This poster reports on five original interactive AI and ML software exhibits teste" | |
| 42,,Introducing Children to AI and ML with Five Software Exhibits,Saniya Vahedian Movahed; James Dimino; Andrew Farrell; Elyas Irankhah; Srija Ghosh,2024,CHI Extended Abstracts,,,,,6,0.000,0.207,10.1145/3613905.3650991,https://www.semanticscholar.org/paper/b9244d82fd7b0494372879f5e34be9c823a4756d,https://dl.acm.org/doi/pdf/10.1145/3613905.3650991,semantic_scholar,,"Artificial intelligence (AI) and machine learning (ML) have a deepening impact in our world. For empowered citizenship and career readiness, elementary and middle school students need to understand these technologies. To provide engaging introductory experiences, we created five original interactive" | |
| 43,,FedMeld: A Model-dispersal Federated Learning Framework for Space-ground Integrated Networks,Qian Chen; Xianhao Chen; Kaibin Huang,2024,IEEE Transactions on Mobile Computing,,,,,6,0.000,0.189,10.48550/arXiv.2412.17231,https://www.semanticscholar.org/paper/034891e71937ee9dfae9476dcd9c16c4118c6930,,semantic_scholar,,"To bridge the digital divide, space-ground integrated networks (SGINs) are expected to deliver artificial intelligence (AI) services to every corner of the world. One key mission of SGINs is to support federated learning (FL) at a global scale. However, existing space-ground integrated FL frameworks" | |
| 44,,Enhancing Agent Learning through World Dynamics Modeling,Zhiyuan Sun; Haochen Shi; Marc-Alexandre Côté; Glen Berseth; Xingdi Yuan,2024,Conference on Empirical Methods in Natural Language Processing,,,,,6,0.000,0.177,10.48550/arXiv.2407.17695,https://www.semanticscholar.org/paper/b73f66e19be7859f01478f49e1c031bc9a9f02ca,,semantic_scholar,,"Large language models (LLMs) have been increasingly applied to tasks in language understanding and interactive decision-making, with their impressive performance largely attributed to the extensive domain knowledge embedded within them. However, the depth and breadth of this knowledge can vary acros" | |
| 45,,Efficient Constrained Multi-Agent Interactive Planning using Constrained Dynamic Potential Games,Maulik Bhatt; Ayberk Yaraneri; Negar Mehr,2022,arXiv.org,,,,,6,0.000,0.122,10.48550/arXiv.2206.08963,https://www.semanticscholar.org/paper/4946e636c701a3263eb7b3eda00b6c94bf5b162b,https://arxiv.org/pdf/2206.08963,semantic_scholar,, | |
| 46,,EXPLORING PERCEPTIONS OF AI IN THE MARKETING CLASSROOM: A STIMULI-ORGANISM-RESPONSE FRAMEWORK,Alec N. Slepchuk; Joby John,2025,Marketing Education Review,,,,,5,0.000,0.244,10.1080/10528008.2025.2478869,https://www.semanticscholar.org/paper/e964401625cfa609c76df2753dc5fe0b092f8c83,,semantic_scholar,,"ABSTRACT AI technologies, including generative AI applications such as ChatGPT, are increasingly being used in business contexts. Yet, marketing educators lack guidance on whether and how such technologies should be used in the classroom. On the one hand, incorporating these technologies into market" | |
| 47,,A Unified Framework for Evaluating the Effectiveness and Enhancing the Transparency of Explainable AI Methods in Real-World Applications,Md. Ariful Islam; M. F. Mridha; Md Abrar Jahin; Nilanjan Dey,2024,arXiv.org,,,,,5,0.000,0.228,10.48550/arXiv.2412.03884,https://www.semanticscholar.org/paper/517017cb153da267d316c3a8783069f13816f82d,,semantic_scholar,,"The fast growth of deep learning has brought great progress in AI-based applications. However, these models are often seen as""black boxes,""which makes them hard to understand, explain, or trust. Explainable Artificial Intelligence (XAI) tries to make AI decisions clearer so that people can understan" | |
| 48,,MoMoE: Mixture of Moderation Experts Framework for AI-Assisted Online Governance,Agam Goyal; Xianyang Zhan; Yilun Chen; Koustuv Saha; Eshwar Chandrasekharan,2025,Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing,,,,,5,0.000,0.205,10.48550/arXiv.2505.14483,https://www.semanticscholar.org/paper/e8d12993400a20f7ff18fabe753c471363671acb,,semantic_scholar,,"Large language models (LLMs) have shown great potential in flagging harmful content in online communities. Yet, existing approaches for moderation require a separate model for every community and are opaque in their decision-making, limiting real-world adoption. We introduce Mixture of Moderation Ex" | |
| 49,,Influence of human factors on the safety performance in Saudi Arabian construction industry,Yasir Azmat,2025,University of Salford Institutional Repository (University of Salford),,,,,4,0.000,0.182,10.17866/rk7m-5a20,https://openalex.org/W3094925317,http://usir.salford.ac.uk/id/eprint/58136/1/Yasir%20Azmat%20PhD%20thesis%20%2803.09.2020%29%20Influence%20of%20Human%20Factors%20on%20the%20safety%20performance%20of%20Saudi%20Arabian%20construction%20industry.pdf,openalex,,"In Saudi Arabia, the construction industry is inflicted with the occurrence of many accidents. Reports released by the government show that the Saudi Arabian construction industry is \nresponsible for the highest number of accidents as compared to the other industries in the country. Research s" | |
| 50,,STMGF: An Effective Spatial-Temporal Multi-Granularity Framework for Traffic Forecasting,Zhengyang Zhao; Haitao Yuan; Nan Jiang; Minxiao Chen; Ning Liu,2024,International Conference on Database Systems for Advanced Applications,,,,,4,0.000,0.176,10.48550/arXiv.2404.05774,https://www.semanticscholar.org/paper/0fabaae92b02dd00fb8c8dbca6480c8a8b413801,,semantic_scholar,,"Accurate Traffic Prediction is a challenging task in intelligent transportation due to the spatial-temporal aspects of road networks. The traffic of a road network can be affected by long-distance or long-term dependencies where existing methods fall short in modeling them. In this paper, we introdu" | |
| 51,,UnRealTHASC – A Cyber-Physical XR Testbed for Underwater Real-Time Human Autonomous Systems Collaboration,Sushrut Surve; Jia Guo; J. C. Menezes; Connor Tate; Yiting Jin,2024,2024 33rd IEEE International Conference on Robot and Human Interactive Communication (ROMAN),,,,,4,0.000,0.164,10.1109/RO-MAN60168.2024.10731209,https://www.semanticscholar.org/paper/a00d041ee8be4281a1ee3dc6164f310661eeda54,,semantic_scholar,,"Research on underwater human-robot teaming is particularly promising because of complementary sensory skills that may overcome unique challenges associated with the combination of limited connectivity and low visibility. Nevertheless, testing human-robot collaboration under water, especially in comp" | |
| 52,,Modeling the Q-Diversity in a Min-max Play Game for Robust Optimization,Ting Wu; Rui Zheng; Tao Gui; Qi Zhang; Xuanjing Huang,2023,Annual Meeting of the Association for Computational Linguistics,,,,,4,0.000,0.149,10.48550/arXiv.2305.12123,https://www.semanticscholar.org/paper/5b1b293a1509ae9694be019abe809707cb862f86,http://arxiv.org/pdf/2305.12123,semantic_scholar,,"Models trained with empirical risk minimization (ERM) are revealed to easily rely on spurious correlations, resulting in poor generalization. Group distributionally robust optimization (group DRO) can alleviate this problem by minimizing the worst-case loss over pre-defined groups. While promising, " | |
| 53,,Employing Socially Interactive Agents for Robotic Neurorehabilitation Training,Rhythm Arora; Matteo Lavit Nicora; Pooja Prajod; Daniele Panzeri; Elisabeth Andr'e,2022,arXiv.org,,,,,4,0.000,0.125,10.48550/arXiv.2206.01587,https://www.semanticscholar.org/paper/e3a36e6a04ae8a63fde729988d67530026e99b67,http://arxiv.org/pdf/2206.01587,semantic_scholar,,"In today's world, many patients with cognitive impairments and motor dysfunction seek the attention of experts to perform specific conventional therapies to improve their situation. However, due to a lack of neurorehabilitation professionals, patients suffer from severe effects that worsen their con" | |
| 54,,Investigating Inconsistency Understanding to Support Interactive Inconsistency Resolution in Declarative Process Models,Sabine Nagel; Patrick Delfmann,2022,European Conference on Information Systems,,,,,4,0.000,0.122,,https://www.semanticscholar.org/paper/3fa93be8233477d422094647e313f292a2aabcf2,,semantic_scholar,, | |
| 55,,"Representations, Affordances, and Interactive Systems",R. Rowe,2021,Multimodal Technologies and Interaction,,,,,4,0.000,0.109,10.3390/MTI5050023,https://www.semanticscholar.org/paper/fad7a337e7463132e34f0d12e4780a2d3c516844,https://www.mdpi.com/2414-4088/5/5/23/pdf?version=1619859666,semantic_scholar,,"The history of algorithmic composition using a digital computer has undergone many representations—data structures that encode some aspects of the outside world, or processes and entities within the program itself. Parallel histories in cognitive science and artificial intelligence have (of necessit" | |
| 56,,Promoting Ensemble Diversity with Interactive Bayesian Distributional Robustness for Fine-tuning Foundation Models,Ngoc-Quan Pham; Tuan Truong; Quyen Tran; Tan Nguyen; Dinh Q. Phung,2025,International Conference on Machine Learning,,,,,3,0.000,0.194,10.48550/arXiv.2506.07247,https://www.semanticscholar.org/paper/20396f0c0d35649de0328b7ae5a41a8a61dbfb5d,,semantic_scholar,,"We introduce Interactive Bayesian Distributional Robustness (IBDR), a novel Bayesian inference framework that allows modeling the interactions between particles, thereby enhancing ensemble quality through increased particle diversity. IBDR is grounded in a generalized theoretical framework that conn" | |
| 57,,ArtGS: 3D Gaussian Splatting for Interactive Visual-Physical Modeling and Manipulation of Articulated Objects,Qiaojun Yu; Xibin Yuan; Yu Jiang; Junting Chen; Dongzhe Zheng,2025,IEEE/RJS International Conference on Intelligent RObots and Systems,,,,,3,0.000,0.192,10.1109/IROS60139.2025.11246522,https://www.semanticscholar.org/paper/875f5170753b1786820200c0f6170e54ac23e816,,semantic_scholar,,"Articulated object manipulation remains a critical challenge in robotics due to the complex kinematic constraints and the limited physical reasoning of existing methods. In this work, we introduce ArtGS, a novel framework that extends 3D Gaussian Splatting (3DGS) by integrating visual-physical model" | |
| 58,,"Learning, Reasoning, Refinement: A Framework for Kahneman's Dual-System Intelligence in GUI Agents",Jinjie Wei; Jiyao Liu; Lihao Liu; Ming Hu; Junzhi Ning (Raymond) Ning,2025,arXiv.org,,,,,3,0.000,0.191,10.48550/arXiv.2506.17913,https://www.semanticscholar.org/paper/d98a9f97b889f37ea39ca2c2d2594d92156d2341,,semantic_scholar,,"Graphical User Interface (GUI) agents have made significant progress in automating digital tasks through the utilization of computer vision and language models. Nevertheless, existing agent systems encounter notable limitations. Firstly, they predominantly depend on trial and error decision making r" | |
| 59,,Designing Presence and Place: A Framework for Engaging Student Interaction in Desktop Virtual World Learning Environments,Arghavan Ebrahimi; Mary Lou Maher,2024,Frontiers in Education Conference,,,,,3,0.000,0.174,10.1109/FIE61694.2024.10892860,https://www.semanticscholar.org/paper/696ad02656097ebc693d0c488c64aaafbfc78a8e,,semantic_scholar,,This research full paper describes a conceptual framework for classifying the interaction design of immersive Desktop Virtual Worlds Learning Environments (DVWLEs). The increasing affordability of internet bandwidth and computer graphics processing power is making DVWLEs a promising option for next- | |
| 60,,A single framework of precision surveillance of diabetes disease prognosis for better care with collaboration,H. Luh; Ming-Yen Lin; P. Wu,2022,Journal of Integrated Design & Process Science,,,,,3,0.000,0.146,10.3233/JID-220012,https://www.semanticscholar.org/paper/01866c640b19f543533b9a026c0b352d96e7cc8d,,semantic_scholar,,We present a decision support model for patient-centered precision surveillance that assists clinicians and patients for the whole disease prospect to provide a single operational framework of whole type 2 diabetic person care management while introducing experts in the loop modeling that facilitate | |
| 61,,LatticeWorld: A Multimodal Large Language Model-Empowered Framework for Interactive Complex World Generation,Yinglin Duan; Zhengxia Zou; Tongwei Gu; Wei Jia; Zhan Zhao,2025,arXiv.org,,,,,2,0.000,0.217,10.48550/arXiv.2509.05263,https://www.semanticscholar.org/paper/03ff08e7f25affb2b77b456ab01d2684ce8c33a1,,semantic_scholar,,"Recent research has been increasingly focusing on developing 3D world models that simulate complex real-world scenarios. World models have found broad applications across various domains, including embodied AI, autonomous driving, entertainment, etc. A more realistic simulation with accurate physics" | |
| 62,,Interactive Incremental Defect Detection Framework With Macroprobability-Controlled Adaptive Learning,Jun Yang; Bin Gao; Yifei Gong; Yukuan Kang; W. Woo,2025,IEEE Transactions on Industrial Informatics,,,,,2,0.000,0.208,10.1109/TII.2025.3568499,https://www.semanticscholar.org/paper/fbdce48d4298e988460a677a8b2f9b5d56b57cb7,,semantic_scholar,,"Visual surface defect detection plays a crucial role in industrial quality control. A series of deep learning based algorithms have been introduced into visual defect detection, achieving remarkable performance. However, these algorithms generally suffer from inadequate adaptability to the expanding" | |
| 63,,Brain-activity based Machine Learning Models predict three-class Cognitive Performance during Multimodal and Traditional Learning,Daniel Ponce-Naranjo; José Emiliano Calderón-Gurubel; Kevin Antonio González-Díaz; Javier Eduardo Martínez-Giorgetti; Adriana Denisse López-Andrade,2023,2023 World Engineering Education Forum - Global Engineering Deans Council (WEEF-GEDC),,,,,2,0.000,0.143,10.1109/WEEF-GEDC59520.2023.10343921,https://www.semanticscholar.org/paper/612b6b33234b7997bd74eba7ee01a8122ad96f8e,,semantic_scholar,,The integration of new technologies and data analysis methods ushered in innovative teaching practices that depart from conventional methods. The advent of information technologies and the rapid adoption of dynamic teaching tools have transformed classrooms into interactive spaces where students and | |
| 64,,HAPT-EDGE: HAPTICS IN SOFT EFFECTORS FOR SMART INTERACTIVE ASSISTIVE FRAMEWORKS,Prabha Sundaravadivel; Ashton Fitgerald; P. Ghosh; Md. Sharif Ahmed,2022,Biomedical sciences instrumentation,,,,,2,0.000,0.138,10.34107/lwwj5713162,https://www.semanticscholar.org/paper/a514e2637e23dcbefaac534b4bd3f393de91fe45,https://doi.org/10.34107/lwwj5713162,semantic_scholar,,Tactile sensors help in modeling the intrinsic and external touch sensation. Tactile sensing can refer to the touch in multiple points of contact and refer to the process of detecting and measuring a given property of a contact event in a predetermined area at multiple points of contact. The Haptic | |
| 65,,A Framework for Modeling a Real-Time Radar System,Brennen T. Garland; D. Hodson; Scott L. Nykl; Richard Dill; M. Grimaila,2020,2020 International Conference on Computational Science and Computational Intelligence (CSCI),,,,,2,0.000,0.100,10.1109/CSCI51800.2020.00267,https://www.semanticscholar.org/paper/75872ded8fd35bd1f5e04144b7fa14fe4d51d809,,semantic_scholar,,"Models are useful mathematical abstractions of real-world systems. These models are parameterized, to the detail necessary, to enable the study of systems dynamics under a wide variety of different conditions that would be difficult, if not impossible, to create otherwise. In this paper, we present " | |
| 66,,Cognitive Agentic AI: Probabilistic Novelty Detection for Continual Adaptation in HRI,Khashayar Ghamati; F. Amirabdollahian; Diego Resende Faria; Abolfazl Zaraki,2025,IEEE International Symposium on Robot and Human Interactive Communication,,,,,1,0.000,0.221,10.1109/RO-MAN63969.2025.11217818,https://www.semanticscholar.org/paper/dde2d2226bdd73713e2cd95caeb44a8b504c0ea9,,semantic_scholar,,"Adapting to novel tasks in human-robot interaction (HRI) is crucial for long-term autonomy, yet remains a major challenge for autonomous agents deployed in unpredictable open-world settings. This paper introduces CAPA-AI, a novel framework that integrates probabilistic novelty detection with continu" | |
| 67,,From 2D to 3D Cognition: A Brief Survey of General World Models,Ningwei Xie; Zizi Tian; Lei Yang; Xiao-Ping Zhang; Meng Guo,2025,arXiv.org,,,,,1,0.000,0.217,10.48550/arXiv.2506.20134,https://www.semanticscholar.org/paper/e006127c865d729c6933aed471fb64b66e2d3c9c,,semantic_scholar,,"World models have garnered increasing attention in the development of artificial general intelligence (AGI), serving as computational frameworks for learning representations of the external world and forecasting future states. While early efforts focused on 2D visual perception and simulation, recen" | |
| 68,,Impact of Label Noise from Large Language Models Generated Annotations on Evaluation of Diagnostic Model Performance,Mohammadreza Chavoshi; Hari Trivedi; Aawez Mansuri; Janice Newsome; Chiratidzo Rudado Sanyika,2025,Radiology Artificial Intelligence,,,,,1,0.000,0.209,10.1148/ryai.250477,https://openalex.org/W7117152907,,openalex,,Purpose To systematically examine how large language model (LLM)-generated label noise impacts real-world evaluation of artificial intelligence (AI) binary classification model performance. Materials and Methods A simulation framework was developed to evaluate how LLM label errors affect estimated m | |
| 69,,Efficient Locality-based Indexing for Cohesive Subgraphs Discovery in Hypergraphs,Song Lim Kim; Dahee Kim; Junghoon Kim; Hyun Ji Jeong; Jungeun Kim,2026,arXiv (Cornell University),,,,,1,0.000,0.203,10.48786/edbt.2026.15,https://openalex.org/W4407759490,https://arxiv.org/pdf/2502.12523,openalex,,"Hypergraphs, increasingly utilised for modelling complex and diverse relationships in modern networks, gain much attention representing intricate higher-order interactions. Among various challenges, cohesive subgraph discovery is one of the fundamental problems and offers deep insights into these st" | |
| 70,,Modeling the phases of rule learning during problem solving with an interactive learning environment,Deniz Sonmez Unal; Erin Solovey; Catherine M. Arrington; Erin Walker,2025,User modeling and user-adapted interaction,,,,,1,0.000,0.180,10.1007/s11257-025-09426-4,https://www.semanticscholar.org/paper/8c217773a6f4ebf36b4809f24db50fa46a9fbe81,,semantic_scholar,, | |
| 71,,Grid-SD2E: A General Grid-Feedback in a System for Cognitive Learning,Jingyi Feng; Chenming Zhang,2023,arXiv.org,,,,,1,0.000,0.153,10.48550/arXiv.2304.01844,https://www.semanticscholar.org/paper/429bd3201d40d40f27afb8b54c65d9444650b600,http://arxiv.org/pdf/2304.01844,semantic_scholar,,"Comprehending how the brain interacts with the external world through generated neural data is crucial for determining its working mechanism, treating brain diseases, and understanding intelligence. Although many theoretical models have been proposed, they have thus far been difficult to integrate a" | |
| 72,sLzD2rw9Ce,DrivingDojo Dataset: Advancing Interactive and Knowledge-Enriched Driving World Model,Yuqi Wang; Ke Cheng; Jiawei He; Qitai Wang; Hengchen Dai,2024,NIPS 2024,Datasets & Benchmarks,Poster,,Dataset;World model;Autonomous Driving;Interactive Behavior,0,1.000,0.496,,https://neurips.cc/virtual/2024/poster/97477,https://openreview.net/pdf?id=sLzD2rw9Ce,offline_nips,,"Driving world models have gained increasing attention due to their ability to model complex physical dynamics. However, their superb modeling capability is yet to be fully unleashed due to the limited video diversity in current driving datasets. We introduce DrivingDojo, the first dataset tailor-mad" | |
| 73,cojJ2s1e35,Inter-Environmental World Modeling for Continuous and Compositional Dynamics,Kohei Hayashi; Masanori Koyama; Julian Jorge Andrade Guerreiro,2025,ICLR 2025,main,Reject,learning on time series and dynamical systems,world model;state space model;object centric learning;symmetry,0,0.972,0.494,,https://openreview.net/forum?id=cojJ2s1e35,,offline_iclr,,"Various world model frameworks are being developed today based on autoregressive frameworks that rely on discrete representations of actions and observations, and these frameworks are succeeding in constructing interactive generative models for the target environment of interest. Meanwhile, humans " | |
| 74,E0cjqfM55C,Learning Interactive World Model for Object-Centric Reinforcement Learning,Fan Feng; Phillip Lippe; Sara Magliacane,2025,NIPS 2025,main,Poster,reinforcement_learning,World Model;Object-Centric RL,0,0.897,0.491,,https://openreview.net/forum?id=E0cjqfM55C,,offline_nips,,"Agents that understand objects and their interactions can learn policies that are more robust and transferable. However, most object-centric RL methods factor state by individual objects while leaving interactions implicit. We introduce the Factored Interactive Object-Centric World Model (FIOC-WM), " | |
| 75,pFyzqbUiF9,Vid2World: Crafting Video Diffusion Models to Interactive World Models,,2026,ICLR 2026,main,Active,"foundation or frontier models, including LLMs",World Models;Video Diffusion Models,0,0.868,0.483,,https://openreview.net/forum?id=pFyzqbUiF9,,offline_iclr,,"World models, which predict future transitions from past observation and action sequences, have shown great promise for improving data efficiency in sequential decision-making. However, existing world models often require extensive domain-specific training and still produce low-fidelity, coarse pred" | |
| 76,WL9shQKYjp,HistoBench: World History Event Extraction and Cognitive-Level Benchmarking of Generative AI,,2026,ICLR 2026,main,Active,datasets and benchmarks,Historical reasoning Temporal understanding Multimodal learning Language models Historical event comprehension Long-context modeling Causal inference Narrative generation Knowledge grounding Cognitive benchmarking;Historical knowledge,0,0.901,0.482,,https://openreview.net/forum?id=WL9shQKYjp,,offline_iclr,,"We present HistoBench, a benchmark and dataset designed to evaluate and improve large language models’ (LLMs) ability to reason about complex, temporally grounded historical narratives. While LLMs perform well on general language tasks, their historical understanding remains limited. HistoBench prov" | |
| 77,rCNe4N7cP4,X-Streamer: Unified Human World Modeling with Audiovisual Interaction,,2026,ICLR 2026,main,Active,generative models,Portrait Animation; Diffusion Forcing; Generative Models; Large Language Models;,0,0.877,0.478,,https://openreview.net/forum?id=rCNe4N7cP4,,offline_iclr,,"We introduce X-Streamer, an end-to-end multimodal human world modeling framework for building digital human agents capable of infinite interactions across text, speech, and video within a single unified architecture. Starting from a single portrait, X-Streamer enables real-time, open-ended video cal" | |
| 78,PA47sKU8CU,Image as a World: Generating Interactive World from Single Image via Panoramic Video Generation,Dongnan Gui; Xun Guo; Wengang Zhou; Yan Lu,2025,NIPS 2025,main,Poster,applications,visual world model;panoramic video generation,0,0.869,0.476,,https://openreview.net/forum?id=PA47sKU8CU,,offline_nips,,"Generating an interactive visual world from a single image is both challenging and practically valuable, as single-view inputs are easy to acquire and align well with prompt-driven applications such as gaming and virtual reality. This paper introduces a novel unified framework, Image as a World (**I" | |
| 79,4TENzBftZR,iVideoGPT: Interactive VideoGPTs are Scalable World Models,Jialong Wu; Shaofeng Yin; Ningya Feng; Xu He; Dong Li,2024,NIPS 2024,main,Poster,reinforcement_learning,world model;model-based reinforcement learning;video prediction;visual planning,0,0.942,0.473,,https://neurips.cc/virtual/2024/poster/96668,https://openreview.net/pdf?id=4TENzBftZR,offline_nips,,"World models empower model-based agents to interactively explore, reason, and plan within imagined environments for real-world decision-making. However, the high demand for interactivity poses challenges in harnessing recent advancements in video generative models for developing world models at scal" | |
| 80,9TMbdO870O,H2IL-MBOM: A Hierarchical World Model Integrating Intent and Latent Strategy as Opponent Modeling in Multi-UAV Game,Jiaming Cheng; Ni Li; Ruiguang Hu; Yaning Wang,2025,ICLR 2025,main,Withdraw,"applications to robotics, autonomy, planning",Multi-UAV Game;Opponent modeling;World model;Multi-agent Reinforcement Learning,0,0.882,0.473,,https://openreview.net/forum?id=9TMbdO870O,,offline_iclr,,"In the mixed cooperative-competitive scenario, the uncertain decisions of agents on both sides not only render learning non-stationary but also pose a threat to each other's security. Existing methods either predict policy beliefs based on opponents' interactive actions, goals, and rewards or predic" | |
| 81,6MgD2sXZmg,Deep Cognition: A Multi-Agent Framework for Collaborative Research with Real-Time Cognitive Oversight,,2026,ICLR 2026,main,Active,"applications to robotics, autonomy, planning",Interactive AI Systems;Human-in-the-Loop;Multi Agent Framework,0,0.733,0.468,,https://openreview.net/forum?id=6MgD2sXZmg,,offline_iclr,,"Despite advances in large language models, current systems for deep research are limited by an asynchronous, ""input-wait-output"" interaction paradigm. This model creates a critical disconnect between human intent and AI execution, leading to error propagation and an inability to dynamically course-c" | |
| 82,Z3nbvxUat0,Planning with Generative Cognitive Maps,,2026,ICLR 2026,main,Active,"unsupervised, self-supervised, semi-supervised, and supervised representation learning",planning;cognitive maps;representation learning,0,0.833,0.468,,https://openreview.net/forum?id=Z3nbvxUat0,,offline_iclr,,"Planning relies on cognitive maps -- models that encode world structure given cognitive resource constraints. The problem of learning functional cognitive maps is shared by humans, animals and machines. However, we still lack a clear understanding of how people represent maps for planning, particul" | |
| 83,vFeeVtMx0T,Active Confusion Expression in Large Language Models: Leveraging World Models toward Better Social Reasoning,,2026,ICLR 2026,main,Active,"applications to computer vision, audio, language, and other modalities",world model;overthinking;social reasoning;large language models,0,0.803,0.464,,https://openreview.net/forum?id=vFeeVtMx0T,,offline_iclr,,"While large language models (LLMs) excel in mathematical and code reasoning, we observe they struggle with social reasoning tasks, exhibiting cognitive confusion, logical inconsistencies, and conflation between objective world states and subjective belief states. Through deteiled analysis of DeepSee" | |
| 84,2Qh9YhuElD,ICPRL: Acquiring Physical Intuition from Interactive Control,,2026,ICLR 2026,main,Active,"foundation or frontier models, including LLMs",VLM Agents;Physical Reasoning;Dynamic Environments,0,0.770,0.461,,https://openreview.net/forum?id=2Qh9YhuElD,,offline_iclr,,"VLMs excel at static perception but falter in interactive reasoning in dynamic physical environments, which demands planning and adaptation to dynamic outcomes. | |
| Existing physical reasoning methods often depend on abstract symbolic inputs or lack the ability to learn and adapt from direct, pixel-bas" | |
| 85,8UZpmrxoLG,Astra: General Interactive World Model with Autoregressive Denoising,,2026,ICLR 2026,main,Active,generative models,world model;video generation,0,0.797,0.460,,https://openreview.net/forum?id=8UZpmrxoLG,,offline_iclr,,"Recent advances in diffusion transformers have empowered video generation models to generate high-quality video clips from texts or images. However, world models with the ability to predict long-horizon futures from past observations and actions remain underexplored, especially for general-purpose s" | |
| 86,33820,PhysGen3D: Crafting a Miniature Interactive World from a Single Image,Boyuan Chen; Hanxiao Jiang; Shaowei Liu; Saurabh Gupta; Yunzhu Li,2025,CVPR 2025,main,Poster,,,0,0.877,0.457,,https://cvpr.thecvf.com/virtual/2025/poster/33820,https://openaccess.thecvf.com/content/CVPR2025/papers/Chen_PhysGen3D_Crafting_a_Miniature_Interactive_World_from_a_Single_Image_CVPR_2025_paper.pdf,offline_cvpr,,"Envisioning physically plausible outcomes from a single image requires a deep understanding of the world's dynamics. To address this, we introduce MiniTwin, a novel framework that transforms a single image into an amodal, camera-centric, interactive 3D scene. By combining advanced image-based geomet" | |
| 87,hFiNgXOT8p,Real-Time Text-Conditioned World Models for Interactive Prototyping,,2026,ICLR 2026,main,Active,generative models,World models;autoregressive models;real time,0,0.781,0.457,,https://openreview.net/forum?id=hFiNgXOT8p,,offline_iclr,,"State-of-the-art world models have been used to produce sequences of gameplay that accord with provided user-input actions, with the suggestion that such models could have creative applications such as quick prototyping of game ideas. However, high quality, consistent gameplay generation often comes" | |
| 88,hAHbo4EGQY,From Masks to Worlds: A Hitchhiker’s Guide to World Models,Jinbin Bai; Yu Lei; Hecong Wu; Yuchen Zhu; Zhuoran Zhao,2026,ICLR 2026,main,Withdraw,"other topics in machine learning (i.e., none of the above)",World Models;Position Paper,0,0.762,0.451,,https://openreview.net/forum?id=hAHbo4EGQY,,offline_iclr,,"This is not a typical survey of world models, it is a guide for those who want to build worlds. We do not aim to catalog every paper that has ever mentioned a ``world model"". Instead, we follow one clear road: from early masked models that unified representation learning across modalities, to unifie" | |
| 89,PAIlHOJBzN,H2IL-MBOM: A Hierarchical World Model Integrating Intent and Latent Strategy for Opponent Modeling in Multi-UAV Game,,2026,ICLR 2026,main,Active,reinforcement learning,Multi-UAV game;Multi-agent reinforcement learning;Opponent modeling;World model,0,0.747,0.450,,https://openreview.net/forum?id=PAIlHOJBzN,,offline_iclr,,"In mixed cooperative-competitive scenarios, the uncertain decisions made by agents on both sides not only render learning non-stationary but also pose significant threats to each other's security. Existing methods typically predict policy beliefs based on opponents' actions, goals, and rewards, or p" | |
| 90,YGUKPGO182,Speech World Model: Causal State–Action Planning with Explicit Reasoning for Speech,,2026,ICLR 2026,main,Active,"applications to computer vision, audio, language, and other modalities",speech;spoken language understanding;state-action;causal reasoning,0,0.731,0.446,,https://openreview.net/forum?id=YGUKPGO182,,offline_iclr,,"Current speech-language models (SLMs) typically use a cascade of speech encoder and large language model, treating speech understanding as a single black box. They analyze the content of speech well but reason weakly about other aspects, especially under sparse supervision. Thus, we argue for explic" | |
| 91,jdoW4zmDg3,DeepVerse: 4D Autoregressive Video Generation as a World Model,Junyi Chen; Haoyi Zhu; Xianglong He; Yifan Wang; Jianjun Zhou,2026,ICLR 2026,main,Withdraw,generative models,generative model;autoregressive model;world model;4d generation,0,0.733,0.440,,https://openreview.net/forum?id=jdoW4zmDg3,,offline_iclr,,"World models serve as essential building blocks toward Artificial General Intelligence (AGI), enabling intelligent agents to predict future states and plan actions by simulating complex physical interactions. However, existing interactive models primarily predict visual observations, thereby neglect" | |
| 92,wdZ8FVuJcS,"Be Affective, Not Just Cognitive - Towards Imparting Pertinent Empathy in Dialogue Agents",,2026,ICLR 2026,main,Active,"applications to computer vision, audio, language, and other modalities",Dialogue and Interactive Systems;Empathetic Response Generation;Affective Empathy;Pre-Training;Synthetic Data,0,0.759,0.440,,https://openreview.net/forum?id=wdZ8FVuJcS,,offline_iclr,,"Empathetic Response Generation (ERG) has gained significant attention in diverse areas but still faces challenges that hinder its effectiveness. These challenges include $1$) the lack of affective empathy in existing works, where they exhibit cognitive empathy (feel $\textit{for}$ user); $2$) genera" | |
| 93,EIEVNiraPS,Spiral Evolution of Visual World Model: Reclaiming Autoregression from the Diffusion Era,Wei Yu; Runjia Qian; Songheng Yin; Animesh Garg,2025,NIPS 2025,Position,Reject,,Interactive World Model; Autoregressive Prediction; Video Generation; Multimodal-Controlled Video Generation,0,0.798,0.435,,https://openreview.net/forum?id=EIEVNiraPS,,offline_nips,,"Recent advances in video generation have been dominated by diffusion-based models, which produce high-quality, prompt-faithful sequences through holistic denoising. While this paradigm has achieved striking visual fidelity, it falls short for real-time, interactive applications that require frame-le" | |
| 94,32570,TIMotion: Temporal and Interactive Framework for Efficient Human-Human Motion Generation,Yabiao Wang; Shuo Wang; Jiangning Zhang; Ke Fan; Jiafu Wu,2025,CVPR 2025,main,Poster,,,0,0.779,0.434,,https://cvpr.thecvf.com/virtual/2025/poster/32570,https://openaccess.thecvf.com/content/CVPR2025/papers/Wang_TIMotion_Temporal_and_Interactive_Framework_for_Efficient_Human-Human_Motion_Generation_CVPR_2025_paper.pdf,offline_cvpr,,"Human-human motion generation is essential for understanding humans as social beings. Current methods fall into two main categories: single-person-based methods and separate modeling-based methods. To delve into this field, we abstract the overall generation process into a general framework MetaMoti" | |
| 95,285,Aether: Geometric-Aware Unified World Modeling,Haoyi Zhu; Yifan Wang; Jianjun Zhou; Wenzheng Chang; Yang Zhou,2025,ICCV 2025,main,Poster,,,0,0.754,0.434,,https://iccv.thecvf.com/virtual/2025/poster/285,https://openaccess.thecvf.com/content/ICCV2025/papers/Zhu_Aether_Geometric-Aware_Unified_World_Modeling_ICCV_2025_paper.pdf,offline_iccv,,"The integration of geometric reconstruction and generative modeling remains a critical challenge in developing AI systems capable of human-like spatial reasoning. This paper proposes Aether, a unified framework that enables geometry-aware reasoning in world models by jointly optimizing three core ca" | |
| 96,aVyJwS1fqQ,Mani-WM: An Interactive World Model for Real-Robot Manipulation,Fangqi Zhu; Hongtao Wu; Song Guo; Yuxiao Liu; Chilam Cheang,2025,ICLR 2025,main,Withdraw,"applications to robotics, autonomy, planning",World Model;Video Generation;Robot Manipulation,0,0.789,0.434,,https://openreview.net/forum?id=aVyJwS1fqQ,,offline_iclr,,"Scalable robot learning in the real world is limited by the cost and safety issues of real robots. In addition, rolling out robot trajectories in the real world can be time-consuming and labor-intensive. In this paper, we propose to learn an interactive world model for robot manipulation as an alter" | |
| 97,cnLNpIRPuF,Worldcraft,Alexander Ashcroft; Hmrishav Bandyopadhyay; Yi-Zhe Song,2025,ICLR 2025,main,Withdraw,generative models,Exchangeability;Hierachy;3D world Generation,0,0.838,0.434,,https://openreview.net/forum?id=cnLNpIRPuF,,offline_iclr,,"We present Worldcraft, a hybrid implicit method for generating vast, interactive 3D worlds at unprecedented scale and speed by modeling them as exchangeable sequences of latent 3D objects. In contrast to existing methods that produce limited scenes, Worldcraft's novel approach constructs expansive e" | |
| 98,NadTwTODgC,Diffusion for World Modeling: Visual Details Matter in Atari,Eloi Alonso; Adam Jelley; Vincent Micheli; Anssi Kanervisto; Amos Storkey,2024,NIPS 2024,main,Spotlight,reinforcement_learning,World models;diffusion models;reinforcement learning;generative models;Atari,0,0.764,0.430,,https://neurips.cc/virtual/2024/poster/95428,https://openreview.net/pdf?id=NadTwTODgC,offline_nips,,"World models constitute a promising approach for training reinforcement learning agents in a safe and sample-efficient manner. Recent world models predominantly operate on sequences of discrete latent variables to model environment dynamics. However, this compression into a compact discrete represen" | |
| 99,rSv6zRyfQf,Learning to Interact in World Latent for Team Coordination,,2026,ICLR 2026,main,Active,reinforcement learning,Multi-agent Reinforcement Learning,0,0.727,0.430,,https://openreview.net/forum?id=rSv6zRyfQf,,offline_iclr,,"This work presents a novel representation learning framework, interactive world latent (IWoL), to facilitate *team coordination* in multi-agent reinforcement learning (MARL). Building effective representation for team coordination is a challenging problem, due to the intricate dynamics emerging from" | |
| 100,MQVyuWBfSH,Flow Matching-Based Autonomous Driving Planning with Advanced Interactive Behavior Modeling,Tianyi Tan; Yinan Zheng; Ruiming Liang; Zexu Wang; Kexin ZHENG,2025,NIPS 2025,main,Poster,reinforcement_learning,Autonomous Driving Planning;Flow Matching,0,0.798,0.427,,https://openreview.net/forum?id=MQVyuWBfSH,,offline_nips,,"Modeling interactive driving behaviors in complex scenarios remains a fundamental challenge for autonomous driving planning. Learning-based approaches attempt to address this challenge with advanced generative models, removing the dependency on over-engineered architectures for representation fusion" | |
| 101,2025.findings-acl.1147,CausalLink: An Interactive Evaluation Framework for Causal Reasoning,Jinyue Feng; Frank Rudzicz,2025,ACL 2025,main,finding,,,0,0.753,0.426,,https://aclanthology.org/2025.findings-acl.1147/,https://aclanthology.org/2025.findings-acl.1147.pdf,offline_acl,,"We present CausalLink, an innovative evaluation framework that interactively assesses thecausal reasoning skill to identify the correct intervention in conversational language models. Each CausalLink test case creates a hypothetical environment in which the language models are instructed to apply in" | |
| 102,DDIoRSh8ID,Multi-Task Interactive Robot Fleet Learning with Visual World Models,Huihan Liu; Yu Zhang; Vaarij Betala; Evan Zhang; James Liu,2024,CORL 2024,main,Poster,,Robot Manipulation;Interactive Imitation Learning;Fleet Learning,0,0.819,0.425,,https://openreview.net/forum?id=DDIoRSh8ID,,offline_corl,,"Recent advancements in large-scale multi-task robot learning offer the potential for deploying robot fleets in household and industrial settings, enabling them to perform diverse tasks across various environments. However, AI-enabled robots often face challenges with generalization and robustness wh" | |
| 103,JOhD3q112L,Think Twice to See More: Iterative Visual Reasoning in Medical VLMs,,2026,ICLR 2026,main,Active,"applications to computer vision, audio, language, and other modalities",medical vision-language models;medical AI,0,0.711,0.423,,https://openreview.net/forum?id=JOhD3q112L,,offline_iclr,,"Medical vision-language models (VLMs) excel at image-text understanding but typically rely on a single-pass reasoning that neglects localized visual cues. In clinical practice, however, human experts iteratively scan, focus, and refine the regions of interest before reaching a final diagnosis. To na" | |
| 104,33998,Exploration-Driven Generative Interactive Environments,Nedko Savov; Naser Kazemi; Mohammad Mahdi; Danda Pani Paudel; Xi Wang,2025,CVPR 2025,main,Poster,,,0,0.689,0.420,,https://cvpr.thecvf.com/virtual/2025/poster/33998,https://openaccess.thecvf.com/content/CVPR2025/papers/Savov_Exploration-Driven_Generative_Interactive_Environments_CVPR_2025_paper.pdf,offline_cvpr,,"Modern world models require costly and time-consuming collection of large video datasets with action demonstrations by people or by environment-specific agents. To simplify training, we focus on using many virtual environments for inexpensive, automatically collected interaction data. Genie, a recen" | |
| 105,skS03tzYNw,"ShapeCraft: LLM Agents for Structured, Textured and Interactive 3D Modeling",Shuyuan Zhang; Chenhan Jiang; Zuoou Li; Jiankang Deng,2025,NIPS 2025,main,Poster,applications,Text-to-3D Generation;LLM Agents;3D Modeling,0,0.772,0.416,,https://openreview.net/forum?id=skS03tzYNw,,offline_nips,,"3D generation from natural language offers significant potential to reduce expert manual modeling efforts and enhance accessibility to 3D assets. However, existing methods often yield unstructured meshes and exhibit poor interactivity, making them impractical for artistic workflows. To address these" | |
| 106,30I17s8gjs,Policy-Driven World Model Adaptation for Robust Offline Model-based Reinforcement Learning,,2026,ICLR 2026,main,Active,reinforcement learning,Offline Reinforcement Learning;Model-based Reinforcement Learning;Robustness;Stackelberg games,0,0.539,0.415,,https://openreview.net/forum?id=30I17s8gjs,,offline_iclr,,"Offline reinforcement learning (RL) offers a powerful paradigm for data-driven control. Compared to model-free approaches, offline model-based RL (MBRL) explicitly learns a world model from a static dataset and uses it as a surrogate simulator, improving data efficiency and enabling potential genera" | |
| 107,ho0sUL1xi5,TimeHC-RL: Temporal‑aware Hierarchical Cognitive Reinforcement Learning for Enhancing LLMs' Social Intelligence,,2026,ICLR 2026,main,Active,applications to neuroscience & cognitive science,Temporal-aware;Hierarchical Cognition;Social Intelligence;Reinforcement Learning;Post Training,0,0.697,0.415,,https://openreview.net/forum?id=ho0sUL1xi5,,offline_iclr,,"Recently, Large Language Models (LLMs) have made significant progress in IQ-related domains that require careful thinking, such as mathematics and coding. However, enhancing LLMs' cognitive development in social domains, particularly from a post-training perspective, remains underexplored. Recognizi" | |
| 108,HXJ6pUSn1L,FLARE: Robot Learning with Implicit World Modeling,Ruijie Zheng; Jing Wang; Scott Reed; Johan Bjorck; Yu Fang,2025,CORL 2025,main,Poster,,World Model;VLA;Humanoid Robotics,0,0.744,0.414,,https://openreview.net/forum?id=HXJ6pUSn1L,,offline_corl,,"We introduce **F**uture **LA**tent **R**presentation Alignm**E**nt (**FLARE**), a novel framework that integrates predictive world modeling into robot policy learning. | |
| By aligning features from a diffusion transformer with latent embeddings of future observations, **FLARE** enables a diffusion trans" | |
| 109,bJbSbJskOS,Genie: Generative Interactive Environments,Jake Bruce; Michael D Dennis; Ashley Edwards; Jack Parker-Holder; Yuge Shi,2024,ICML 2024,main,Oral,,,0,0.736,0.413,,https://icml.cc/virtual/2024/poster/33646,https://openreview.net/pdf?id=bJbSbJskOS,offline_icml,,"We introduce Genie, the first *generative interactive environment* trained in an unsupervised manner from unlabelled Internet videos. The model can be prompted to generate an endless variety of action-controllable virtual worlds described through text, synthetic images, photographs, and even sketche" | |
| 110,tpbtodnI1p,World Model Implanting for Test-time Adaptation of Embodied Agents,Minjong Yoo; Jinwoo Jang; Sihyung Yoon; Honguk Woo,2025,ICML 2025,main,Poster,reinforcement_learning->everything_else,Embodied AI;Model implanting;World models;Large language model,0,0.564,0.413,,https://icml.cc/virtual/2025/poster/43758,https://openreview.net/pdf?id=tpbtodnI1p,offline_icml,,"In embodied AI, a persistent challenge is enabling agents to robustly adapt to novel domains without requiring extensive data collection or retraining. To address this, we present a world model implanting framework (WorMI) that combines the reasoning capabilities of large language models (LLMs) with" | |
| 111,184,Long-Context State-Space Video World Models,Ryan Po; Yotam Nitzan; Richard Zhang; Berlin Chen; Tri Dao,2025,ICCV 2025,main,Poster,,,0,0.741,0.412,,https://iccv.thecvf.com/virtual/2025/poster/184,https://openaccess.thecvf.com/content/ICCV2025/papers/Po_Long-Context_State-Space_Video_World_Models_ICCV_2025_paper.pdf,offline_iccv,,"Video diffusion models have recently shown promise for world modeling through autoregressive frame prediction conditioned on actions. However, they struggle to maintain long-term memory due to the high computational cost associated with processing extended sequences in attention layers. To overcome " | |
| 112,nPcrFDHL2i,WonderZoom: Multi-Scale 3D World Generation,Jin Cao; Hong-Xing Yu; Jiajun Wu,2026,ICLR 2026,main,Withdraw,"applications to computer vision, audio, language, and other modalities",Multi-scale generation;3D world generation,0,0.681,0.411,,https://openreview.net/forum?id=nPcrFDHL2i,,offline_iclr,,"We present WonderZoom, a novel approach to generating 3D scenes with contents across multiple spatial scales from a single image. Existing 3D world generation models remain limited to single-scale synthesis and cannot produce coherent scene contents at varying granularities. The fundamental challeng" | |
| 113,4W1wTg7q9o,UrbanWorld: An Urban World Model for 3D City Generation,Yu Shang; Yuming Lin; Yu Zheng; Fan Hangyu; Jingtao Ding,2025,ICLR 2025,main,Reject,"applications to computer vision, audio, language, and other modalities",Urban world model;3D city generation,0,0.705,0.409,,https://openreview.net/forum?id=4W1wTg7q9o,,offline_iclr,,"Cities, as the essential environment of human life, encompass diverse physical elements such as buildings, roads and vegetation, which continuously interact with dynamic entities like people and vehicles. Crafting realistic, interactive 3D urban environments is essential for nurturing AGI systems an" | |
| 114,VaowElpVzd,Co$^{\mathbf{3}}$Gesture: Towards Coherent Concurrent Co-speech 3D Gesture Generation with Interactive Diffusion,Xingqun Qi; Yatian Wang; Hengyuan Zhang; Jiahao Pan; Wei Xue,2025,ICLR 2025,main,Spotlight,"applications to computer vision, audio, language, and other modalities",3D co-speech gesture generation;human motion modeling,0,0.734,0.409,,https://iclr.cc/virtual/2025/poster/29405,https://openreview.net/pdf?id=VaowElpVzd,offline_iclr,,"Generating gestures from human speech has gained tremendous progress in animating virtual avatars. While the existing methods enable synthesizing gestures cooperated by people self-talking, they overlook the practicality of concurrent gesture modeling with two-person interactive conversations. Moreo" | |
| 115,EBwfFrw5VA,Cognitive Mirrors: Exploring the Diverse Functional Roles of Attention Heads in LLM Reasoning,Xueqi Ma; Jun Wang; Yanbei Jiang; Sarah Monazam Erfani; Tongliang Liu,2025,NIPS 2025,main,Poster,deep_learning,Large language models;interpretability;attention heads,0,0.722,0.404,,https://openreview.net/forum?id=EBwfFrw5VA,,offline_nips,,"Large language models (LLMs) have achieved state-of-the-art performance in a variety of tasks, but remain largely opaque in terms of their internal mechanisms. Understanding these mechanisms is crucial to improve their reasoning abilities. Drawing inspiration from the interplay between neural proces" | |
| 116,Oq8bDXRf4F,Cognitive map formation under uncertainty via local prediction learning,Calvin Yeung; Zhuowen Zou; Nathaniel D. Bastian; Mohsen Imani,2025,ICLR 2025,main,Reject,"unsupervised, self-supervised, semi-supervised, and supervised representation learning",cognitive maps;local prediction learning;vector symbolic architectures,0,0.713,0.399,,https://openreview.net/forum?id=Oq8bDXRf4F,,offline_iclr,,Cognitive maps are internal world models that enable adaptive behavior including spatial navigation and planning. The Cognitive Map Learner (CML) has been recently proposed as a model for cognitive map formation and planning. A CML learns high dimensional state and action representations using local | |
| 117,10611462,Language and Sketching: An LLM-driven Interactive Multimodal Multitask Robot Navigation Framework,Weiqin Zu; Wenbin Song; Ruiqing Chen; Ze Guo; Fanglei Sun,2024,ICRA 2024,main,Poster,,,0,0.742,0.398,,https://ieeexplore.ieee.org/document/10611462/,,offline_icra,,"The socially-aware navigation system has evolved to adeptly avoid various obstacles while performing multiple tasks, such as point-to-point navigation, human-following, and -guiding. However, a prominent gap persists: in Human-Robot Interaction (HRI), the procedure of communicating commands to robot" | |
| 118,10610817,Exploring the Impact of Narrator Type on Response Latency and Utterance Length During Interactive Storytelling,Iman Bakhoda; Pourya Shahverdi; Katelyn Rousso; Justin Klotz; Wing-Yue Geoffrey Louie,2024,ICRA 2024,main,Poster,,,0,0.785,0.396,,https://ieeexplore.ieee.org/document/10610817/,,offline_icra,,The inexorable progress of technology brought forth an era where robots increasingly integrate into human life which necessitates the understanding of human-robot interactions (HRI). This study unravels the details of HRI within interactive storytelling contexts. Through a between-subject experiment | |
| 119,o24k_XfIe6_,Learning Knowledge Graph-based World Models of Textual Environments,Prithviraj Ammanabrolu; Mark Riedl,2021,NIPS 2021,main,Poster,,world models;text games;knowledge graphs;natural language processing,0,0.872,0.395,,https://nips.cc/virtual/2021/poster/28729,https://openreview.net/pdf?id=o24k_XfIe6_,offline_nips,"We teach agents to simultaneously model and act in interactive, situated, textual worlds by mapping them with knowledge graphs.","World models improve a learning agent's ability to efficiently operate in interactive and situated environments. This work focuses on the task of building world models of text-based game environments. Text-based games, or interactive narratives, are reinforcement learning environments in which agent" | |
| 120,OACw1Fqy6Y,Overcoming Challenges of Long-Horizon Prediction in Driving World Models,Arian Mousakhan; Sudhanshu Mittal; Silvio Galesso; Karim Farid; Thomas Brox,2025,NIPS 2025,main,Poster,deep_learning,World models;autonomous driving;generative models;video generation,0,0.601,0.395,,https://openreview.net/forum?id=OACw1Fqy6Y,,offline_nips,,"Existing world models for autonomous driving struggle with long-horizon generation and generalization to challenging scenarios. In this work, we develop a model using simple design choices, and without additional supervision or sensors, such as maps, depth, or multiple cameras. | |
| We show that our mode" | |
| 121,I9pQJJWKn3,Dreamland: Hybrid World Creation with Simulator and Generative Models,,2026,ICLR 2026,main,Active,generative models,Computer Vision;Generative Models;World Model,0,0.539,0.392,,https://openreview.net/forum?id=I9pQJJWKn3,,offline_iclr,,"Large-scale video generative models can synthesize diverse and realistic visual content for dynamic world creation, but they often lack element-wise controllability, hindering their use in editing scenes and training embodied AI agents. We propose Dreamland, a hybrid world generation framework that " | |
| 122,XZ0pRezf4O,PointWorld: Scaling 3D World Models for In-The-Wild Robotic Manipulation,Wenlong Huang; Yu-Wei Chao; Arsalan Mousavian; Ming-Yu Liu; Dieter Fox,2026,ICLR 2026,main,Withdraw,"applications to robotics, autonomy, planning",World Modeling;Dynamics Modeling;Robotic Manipulation,0,0.545,0.392,,https://openreview.net/forum?id=XZ0pRezf4O,,offline_iclr,,"Humans anticipate, from a glance and a contemplated action of their bodies, how the | |
| 3D world will respond. This predictive ability is equally vital for enabling robots | |
| to manipulate and interact with the physical world. We introduce PointWorld, | |
| a foundation 3D world model that unifies state and acti" | |
| 123,,HoloAssist: an Egocentric Human Interaction Dataset for Interactive AI Assistants in the Real World,Xin Wang; Taein Kwon; Mahdi Rad; Bowen Pan; Ishani Chakraborty,2023,ICCV 2023,main,Poster,,,0,0.720,0.391,,,https://openaccess.thecvf.com/content/ICCV2023/papers/Wang_HoloAssist_an_Egocentric_Human_Interaction_Dataset_for_Interactive_AI_Assistants_ICCV_2023_paper.pdf,offline_iccv,,"Building an interactive AI assistant that can perceive, reason, and collaborate with humans in the real world has been a long-standing pursuit in the AI community. This work is part of a broader research effort to develop intelligent agents that can interactively guide humans through performing task" | |
| 124,7FHnnENUG0,Modeling Worlds in Text,Prithviraj Ammanabrolu; Mark Riedl,2021,NIPS 2021,Datasets & Benchmarks,Poster,,World Models;Text-based Games;Natural Language Processing;Knowledge Graphs,0,0.929,0.391,,https://openreview.net/forum?id=7FHnnENUG0,,offline_nips,We provide a dataset and corresponding benchmarks with baselines that enables the creation of learning agents that can build knowledge graph-based world models of interactive narratives.,We provide a dataset that enables the creation of learning agents that can build knowledge graph-based world models of interactive narratives. Interactive narratives---or text-adventure games---are partially observable environments structured as long puzzles or quests in which an agent perceives and | |
| 125,,Text-guided Controllable Mesh Refinement for Interactive 3D Modeling,Yun-Chun Chen; Selena Ling; Zhiqin Chen; Vladimir G. Kim; Matheus Gadelha,2024,SIGGRAPHASIA 2024,main,Technical Paper,,,0,0.762,0.389,,,,offline_siggraphasia,, | |
| 126,uDmxJ6133n,TOWARD MEMORY-AIDED WORLD MODELS: BENCHMARKING VIA SPATIAL CONSISTENCY,,2026,ICLR 2026,main,Active,datasets and benchmarks,Dataset;Benchmark;WorldModel;Memory,0,0.538,0.389,,https://openreview.net/forum?id=uDmxJ6133n,,offline_iclr,,"The ability to simulate the world in a spatially consistent manner is a crucial requirements for effective world models. Such a model enables high-quality visual generation, and also ensures the reliability of world models for downstream tasks such as simulation and planning. Designing a memory modu" | |
| 127,2024.acl-long.850,AppWorld: A Controllable World of Apps and People for Benchmarking Interactive Coding Agents,Harsh Trivedi; Tushar Khot; Mareike Hartmann; Ruskin Manku; Vinty Dong,2024,ACL 2024,main,Long,,,0,0.752,0.388,,https://aclanthology.org/2024.acl-long.850/,https://aclanthology.org/2024.acl-long.850.pdf,offline_acl,,"Autonomous agents that address day-to-day digital tasks (e.g., ordering groceries for a household), must not only operate multiple apps (e.g., notes, messaging, shopping app) via APIs, but also generate rich code with complex control flow in an iterative manner based on their interaction with the en" | |
| 128,JEejM4WkWB,Embodied Graph: A Relational World Model,,2026,ICLR 2026,main,Active,"applications to robotics, autonomy, planning",Embodied Graph;Rational World Model,0,0.574,0.388,,https://openreview.net/forum?id=JEejM4WkWB,,offline_iclr,,"World models empower embodied exploration by building internal representations and predicting future states of the environment. Nevertheless, existing approaches merely rely on dense supervisions such as pixel-level signals, failing to distinguish task-relevant information from task-irrelevant infor" | |
| 129,,Interactive Invigoration: Volumetric Modeling of Trees With Strands,Bosheng Li; Nikolas Schwarz; Wojtek Palubicki; Soeren Pirk; Bedrich Benes,2024,SIGGRAPH 2024,main,Technical Paper,,Modeling; Geometry,0,0.757,0.387,,,,offline_siggraph,, | |
| 130,article-26827,Learning to See the Physical World,Jiajun Wu,2023,AAAI 2023,new faculty highlights,Technical,,,0,0.729,0.386,,https://ojs.aaai.org/index.php/AAAI/article/view/26827,https://ojs.aaai.org/index.php/AAAI/article/view/26827/26599,offline_aaai,,"This paper is part of the AAAI-23 New Faculty Highlights. In my presentation, I will introduce my research goal, which is to build machines that see, interact with, and reason about the physical world just like humans. This problem, which we call physical scene understanding, involves three key topi" | |
| 131,Jaut99EHeu,VLA-RFT: Vision-Language-Action Reinforcement Fine-Tuning with Verified Rewards in World Simulators,,2026,ICLR 2026,main,Active,"applications to robotics, autonomy, planning",VLA;World Model,0,0.521,0.378,,https://openreview.net/forum?id=Jaut99EHeu,,offline_iclr,,"Vision-Language-Action (VLA) models enable embodied decision-making but rely heavily on imitation learning, leading to compounding errors and poor robustness under distribution shift. Reinforcement learning (RL) can mitigate these issues yet typically demands costly real-world interactions or suffer" | |
| 132,10611528,Object Permanence Filter for Robust Tracking with Interactive Robots,Shaoting Peng; Margaret X. Wang; Julie A. Shah; Nadia Figueroa; Shaoting Peng,2024,ICRA 2024,main,Poster,,,0,0.725,0.377,,https://ieeexplore.ieee.org/document/10611528/,,offline_icra,,"Object permanence, which refers to the concept that objects continue to exist even when they are no longer perceivable through the senses, is a crucial aspect of human cognitive development. In this work, we seek to incorporate this understanding into interactive robots by proposing a set of assumpt" | |
| 133,2220,PreLAR: World Model Pre-training with Learnable Action Representation,Lixuan Zhang; Meina Kan; Shiguang Shan; Xilin Chen*,2024,ECCV 2024,main,Poster,,,0,0.492,0.377,,https://eccv2024.ecva.net//virtual/2024/poster/2220,https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/03363.pdf,offline_eccv,,"""The recent technique of Model-Based Reinforcement Learning learns to make decisions by building a world model about the dynamics of the environment. The world model learning requires extensive interactions with the real environment. Therefore, several innovative approaches such as APV proposed to u" | |
| 134,yLL2oDvWSn,VideoVerse: How Far is Your T2V Generator from a World Model?,Zeqing Wang; Xinyu Wei; Bairui Li; Zhen Guo; Jinrui Zhang,2026,ICLR 2026,main,Withdraw,datasets and benchmarks,Text-to-video;evaluation;benchmark;world model,0,0.520,0.376,,https://openreview.net/forum?id=yLL2oDvWSn,,offline_iclr,,"The recent rapid advancement of Text-to-Video (T2V) generation technologies, which are critical to build ``world models'', makes the existing benchmarks increasingly insufficient to evaluate state-of-the-art T2V models. First, current evaluation dimensions, such as per-frame aesthetic quality and t" | |
| 135,article-28225,TETRIS: Towards Exploring the Robustness of Interactive Segmentation,Andrey Moskalenko; Vlad Shakhuro; Anna Vorontsova; Anton Konushin; Anton Antonov,2024,AAAI 2024,main,Technical,computer vision iv,,0,0.692,0.376,,https://ojs.aaai.org/index.php/AAAI/article/view/28225,https://ojs.aaai.org/index.php/AAAI/article/view/28225/28445,offline_aaai,,"Interactive segmentation methods rely on user inputs to iteratively update the selection mask. A click specifying the object of interest is arguably the most simple and intuitive interaction type, and thereby the most common choice for interactive segmentation. However, user clicking patterns in the" | |
| 136,o2w2iiMyEU,LaDi-WM: A Latent Diffusion-Based World Model for Predictive Manipulation,Yuhang Huang; Jiazhao Zhang; Shilong Zou; Xinwang Liu; Ruizhen Hu,2025,CORL 2025,main,Poster,,Robot Learning: Model Learning;Control & Dynamics;Grasping & Manipulation,0,0.537,0.374,,https://openreview.net/forum?id=o2w2iiMyEU,,offline_corl,,"Predictive manipulation has recently gained considerable attention in the Embodied AI community due to its potential to improve robot policy performance by leveraging predicted states. However, generating accurate future visual states of robot-object interactions from world models remains a well-kno" | |
| 137,mQeZEsdODh,Continual Reinforcement Learning by Planning with Online World Models,Zichen Liu; Guoji Fu; Chao Du; Wee Sun Lee; Min Lin,2025,ICML 2025,main,Spotlight,reinforcement_learning,model-based rl;continual rl;online learning;incremental learning;catastrophic forgetting,0,0.534,0.373,,https://icml.cc/virtual/2025/poster/44151,https://openreview.net/pdf?id=mQeZEsdODh,offline_icml,,"Continual reinforcement learning (CRL) refers to a naturalistic setting where an agent needs to endlessly evolve, by trial and error, to solve multiple tasks that are presented sequentially. One of the largest obstacles to CRL is that the agent may forget how to solve previous tasks when learning a " | |
| 138,PK07eretkF,DreamVLA: A Vision-Language-Action Model Dreamed with Comprehensive World Knowledge,Wenyao Zhang; Hongsi Liu; Zekun Qi; Yunnan Wang; XinQiang Yu,2025,NIPS 2025,main,Poster,other,Vision language action models;comprehensive knowledge forecasting;robot learning,0,0.545,0.371,,https://openreview.net/forum?id=PK07eretkF,,offline_nips,,"Recent advances in vision-language-action (VLA) models have shown promise in integrating image generation with action prediction to improve generalization and reasoning in robot manipulation. However, existing methods are limited to challenging image-based forecasting, which suffers from redundant i" | |
| 139,2024.emnlp-main.711,PATIENT-𝜓: Using Large Language Models to Simulate Patients for Training Mental Health Professionals,Ruiyi Wang; Stephanie Milani; Jamie C. Chiu; Jiayin Zhi; Shaun M. Eack,2024,EMNLP 2024,main,Main,,,0,0.682,0.371,,https://aclanthology.org/2024.emnlp-main.711/,https://aclanthology.org/2024.emnlp-main.711.pdf,offline_emnlp,,"Mental illness remains one of the most critical public health issues. Despite its importance, many mental health professionals highlight a disconnect between their training and actual real-world patient practice. To help bridge this gap, we propose PATIENT-𝜓, a novel patient simulation framework for" | |
| 140,IajCvMJw41,Improving Transformer World Models for Data-Efficient RL,Antoine Dedieu; Joseph Ortiz; Xinghua Lou; Carter Wendelken; J Swaroop Guntupalli,2025,ICML 2025,main,Poster,reinforcement_learning->online,Model Based Reinforcement Learning;Background Planning;Transformer World Model,0,0.547,0.369,,https://icml.cc/virtual/2025/poster/45728,https://openreview.net/pdf?id=IajCvMJw41,offline_icml,,"We present an approach to model-based RL that achieves a new state of the art performance on the challenging Craftax-classic benchmark, an open-world 2D survival game that requires agents to exhibit a wide range of general abilities---such as strong generalization, deep exploration, and long-term re" | |
| 141,xw4jtToUrf,Investigating Online RL in World Models,Uljad Berdica; Kelvin Li; Michael Beukman; Alexander David Goldie; Mattie Fellows,2025,ICLR 2025,main,Reject,reinforcement learning,World models;Domain Randomization;Offline RL,0,0.534,0.366,,https://openreview.net/forum?id=xw4jtToUrf,,offline_iclr,,Significant advances in online reinforcement learning (RL) remain limited by the need for extensive environment interaction or accurate simulators. World models trained on large-scale uncurated *offline data* could provide a training paradigm for generalist AI agents which alleviates the need for ta | |
| 142,sUEdpZCHdp,Composition of Memory Experts for Diffusion World Models,,2026,ICLR 2026,main,Active,generative models,World Model;Diffusion Model;Memory;Generative Models;Video Generation,0,0.505,0.365,,https://openreview.net/forum?id=sUEdpZCHdp,,offline_iclr,,"World models aim to predict plausible futures consistent with past observations, a | |
| capability central to planning and decision-making in reinforcement learning. Yet, | |
| existing architectures face a fundamental memory trade-off: transformers preserve | |
| local detail but are bottlenecked by quadratic atten" | |
| 143,,Local Deformation for Interactive Shape Editing,Honglin Chen; Changxi Zheng; Kevin Wampler,2023,SIGGRAPH 2023,main,Technical Paper,,Video; Modeling,0,0.746,0.364,,,,offline_siggraph,, | |
| 144,eCGpNGDeNu,Reward-Free Curricula for Training Robust World Models,Marc Rigter; Minqi Jiang; Ingmar Posner,2024,ICLR 2024,main,Poster,reinforcement learning,curricula;model-based reinforcement learning;world models;reward-free reinforcement learning;robustness;unsupervised environment design,0,0.599,0.363,,https://iclr.cc/virtual/2024/poster/18229,https://openreview.net/pdf?id=eCGpNGDeNu,offline_iclr,,"There has been a recent surge of interest in developing generally-capable agents that can adapt to new tasks without additional training in the environment. Learning world models from reward-free exploration is a promising approach, and enables policies to be trained using imagined experience for ne" | |
| 145,RdudTla7eIM,MoCa: Cognitive Scaffolding for Language Models in Causal and Moral Judgment Tasks,Allen Nie; Yuhui Zhang; Atharva Amdekar; Christopher J Piech; Tatsunori Hashimoto,2023,ICLR 2023,main,Reject,,cognitive science;causal reasoning;moral reasoning;dataset;chain-of-thought;step-by-step;language models,0,0.734,0.363,,https://openreview.net/forum?id=RdudTla7eIM,,offline_iclr,"We summarized the main findings of 24 cognitive science papers around human intuitions on causal and moral judgments, and collect a dataset to evaluate large language models.","Human commonsense understanding of the physical and social world is organized around intuitive theories. These theories support making causal and moral judgments. When something bad happened, we naturally ask: who did what, and why? A rich literature in cognitive science has studied people's causal " | |
| 146,zXlB9A5xya,Imagined Autocurricula,Ahmet H. Güzel; Matthew Thomas Jackson; Jarek Luca Liesen; Tim Rocktäschel; Jakob Nicolaus Foerster,2025,NIPS 2025,main,Poster,reinforcement_learning,World Models;Reinforcement Learning;UED;Generalization,0,0.542,0.363,,https://openreview.net/forum?id=zXlB9A5xya,,offline_nips,,"Training agents to act in embodied environments typically requires vast training data or access to accurate simulation, neither of which exists for many cases in the real world. Instead, world models are emerging as an alternative–leveraging offline, passively collected data, they make it possible t" | |
| 147,,Interactive Hair Simulation on the GPU Using ADMM,Gilles Daviet,2023,SIGGRAPH 2023,main,Technical Paper,,Animation/Simulation; Modeling,0,0.737,0.361,,,,offline_siggraph,, | |
| 148,,Juxtaform: Interactive Visual Summarization for Exploratory Shape Design,Karran Pandey; Fanny Chevalier; Karan Singh,2023,SIGGRAPH 2023,main,Technical Paper,,Video; Modeling,0,0.737,0.361,,,,offline_siggraph,, | |
| 149,PJOwQ77Mul,SAMPO: Scale-wise Autoregression with Motion Prompt for Generative World Models,Sen Wang; Jingyi Tian; Le Wang; Zhimin Liao; lijiayi,2025,NIPS 2025,main,Poster,reinforcement_learning,World Model;Video Prediction;Robotic Control,0,0.523,0.357,,https://openreview.net/forum?id=PJOwQ77Mul,,offline_nips,,"World models allow agents to simulate the consequences of actions in imagined environments for planning, control, and long-horizon decision-making. However, existing autoregressive world models struggle with visually coherent predictions due to disrupted spatial structure, inefficient decoding, and " | |
| 150,2024.findings-acl.294,Your Co-Workers Matter: Evaluating Collaborative Capabilities of Language Models in Blocks World,Guande Wu; Chen Zhao; Claudio Silva; He He,2024,ACL 2024,main,Findings,,,0,0.569,0.357,,https://aclanthology.org/2024.findings-acl.294/,https://aclanthology.org/2024.findings-acl.294.pdf,offline_acl,,"Language agents that interact with the world on their own have great potential for automating digital tasks. While large language model (LLM) agents have made progress in understanding and executing tasks such as textual games and webpage control, many real-world tasks also require collaboration wit" | |
| 151,2685,DriveX: Omni Scene Modeling for Learning Generalizable World Knowledge in Autonomous Driving,Chen Shi; Shaoshuai Shi; Kehua Sheng; Bo Zhang; Li Jiang,2025,ICCV 2025,main,Poster,,,0,0.527,0.356,,https://iccv.thecvf.com/virtual/2025/poster/2685,https://openaccess.thecvf.com/content/ICCV2025/papers/Shi_DriveX_Omni_Scene_Modeling_for_Learning_Generalizable_World_Knowledge_in_ICCV_2025_paper.pdf,offline_iccv,,"Data-driven learning has advanced autonomous driving, yet task-specific models struggle with out-of-distribution scenarios due to their narrow optimization objectives and reliance on costly annotated data. We present DriveX, a self-supervised world model that learns generalizable scene dynamics and " | |
| 152,g52NwTQj0Q,StateSpaceDiffuser: Bringing Long Context to Diffusion World Models,Nedko Savov; Naser Kazemi; Deheng Zhang; Danda Pani Paudel; Xi Wang,2025,NIPS 2025,main,Poster,deep_learning,world model;state-space model;long context;generative model;computer vision,0,0.523,0.355,,https://openreview.net/forum?id=g52NwTQj0Q,,offline_nips,,"World models have recently gained prominence for action-conditioned visual prediction in complex environments. However, relying on only a few recent observations causes them to lose long-term context. Consequently, within a few steps, the generated scenes drift from what was previously observed, und" | |
| 153,GARbxyCV13,DINO-WM: World Models on Pre-trained Visual Features enable Zero-shot Planning,Gaoyue Zhou; Hengkai Pan; Yann LeCun; Lerrel Pinto,2025,ICLR 2025,main,Reject,"applications to robotics, autonomy, planning",World Models;Planning;Representation Learning,0,0.531,0.355,,https://openreview.net/forum?id=GARbxyCV13,,offline_iclr,,"The ability to predict future outcomes given control actions is fundamental for physical reasoning. However, such predictive models, often called world models, have proven challenging to learn and are typically developed for task-specific solutions with online policy learning. We argue that the true" | |
| 154,34038,CheXWorld: Exploring Image World Modeling for Radiograph Representation Learning,Yang Yue; Yulin Wang; Chenxin Tao; Pan Liu; Shiji Song,2025,CVPR 2025,main,Poster,,,0,0.519,0.355,,https://cvpr.thecvf.com/virtual/2025/poster/34038,https://openaccess.thecvf.com/content/CVPR2025/papers/Yue_CheXWorld_Exploring_Image_World_Modeling_for_Radiograph_Representation_Learning_CVPR_2025_paper.pdf,offline_cvpr,,"Humans can develop internal world models that encode common sense knowledge, telling them how the world works and predicting the consequences of their actions. This concept has emerged as a promising direction for establishing general-purpose machine-learning models in recent preliminary works, e.g." | |
| 155,article-26922,Safe Interactive Autonomy for Multi-Agent Systems,Yiwei Lyu,2023,AAAI 2023,aaai doctoral consortium track,Technical,,,0,0.703,0.355,,https://ojs.aaai.org/index.php/AAAI/article/view/26922,https://ojs.aaai.org/index.php/AAAI/article/view/26922/26694,offline_aaai,,"It is envisioned that in the near future autonomous systems such as multi-agent systems, will co-exist with humans, e.g., autonomous vehicles will share roads with human drivers. These safety-critical scenarios require formally provable safety guarantees so that the robots will never collide with hu" | |
| 156,7DtgxVZGj-y,Contrastive Unsupervised Learning of World Model with Invariant Causal Features,Rudra P. K. Poudel; Harit Pandya; Roberto Cipolla,2023,ICLR 2023,main,Reject,,world models;causality;contrastive learning;model-based reinforcement learning;reinforcement learning;out-of-distribution generalisation;sim-to-real transfer;robot navigation,0,0.563,0.347,,https://openreview.net/forum?id=7DtgxVZGj-y,,offline_iclr,"We present a world model, which learns the causal features using invariance principle and achieves state-of-the-art performance on out-of-distribution generalisation.","In this paper we present a world model, which learns the causal features using invariance principle. We use contrastive unsupervised learning to learn the invariant causal features, which enforces invariance across augmentations of irrelevant parts or styles of the observation. Since the world model" | |
| 157,gnXTDQyxlU,PIVOT-R: Primitive-Driven Waypoint-Aware World Model for Robotic Manipulation,Kaidong Zhang; Pengzhen Ren; Bingqian Lin; Junfan Lin; Shikui Ma,2024,NIPS 2024,main,Poster,robotics,Robot manipulation; World model,0,0.541,0.345,,https://neurips.cc/virtual/2024/poster/94118,https://openreview.net/pdf?id=gnXTDQyxlU,offline_nips,,"Language-guided robotic manipulation is a challenging task that requires an embodied agent to follow abstract user instructions to accomplish various complex manipulation tasks. Previous work generally maps instructions and visual perceptions directly to low-level executable actions, neglecting the " | |
| 158,Gq4Gay8rDB,PlayerOne: Egocentric World Simulator,Yuanpeng Tu; Hao Luo; Xi Chen; Xiang Bai; Fan Wang,2025,NIPS 2025,main,Oral,deep_learning,Video generation;World model;Egocentric understanding,0,0.496,0.344,,https://openreview.net/forum?id=Gq4Gay8rDB,,offline_nips,,"We introduce PlayerOne, the first egocentric realistic world simulator, facilitating immersive and unrestricted exploration within vividly dynamic environments. Given an egocentric scene image from the user, PlayerOne can accurately construct the corresponding world and generate egocentric videos th" | |
| 159,nMiyWyNhQx,Human-like Navigation in a World Built for Humans,Bhargav Chandaka; Gloria Xinyue Wang; Haozhe Chen; Henry Che; Albert J. Zhai,2025,CORL 2025,main,Poster,,navigation;reasoning;vison-language model,0,0.507,0.340,,https://openreview.net/forum?id=nMiyWyNhQx,,offline_corl,,When navigating in a man-made environment they haven’t visited before—like an office building—humans employ behaviors such as reading signs and asking others for directions. These behaviors help humans reach their destinations efficiently by reducing the need to search through large areas. Existing | |
| 160,35248,Seeing A 3D World in A Grain of Sand,Yufan Zhang; Yu Ji; Yu Guo; Jinwei Ye,2025,CVPR 2025,main,Poster,,,0,0.502,0.334,,https://cvpr.thecvf.com/virtual/2025/poster/35248,https://openaccess.thecvf.com/content/CVPR2025/papers/Zhang_Seeing_A_3D_World_in_A_Grain_of_Sand_CVPR_2025_paper.pdf,offline_cvpr,,"We present a snapshot imaging technique for recovering 3D surrounding views of miniature scenes. Due to their intricacy, miniature scenes with objects sized in millimeters are difficult to reconstruct, yet miniatures are common in life and their 3D digitalization is desirable. We design a catadioptr" | |
| 161,6PcJEFKvBD,offline_rl_ope: A Python package for off-policy evaluation of offline RL models with real world data,Joshua William Spear; Matthieu Komorowski; REBECCA POPE; Neil J Sebire,2025,ICLR 2025,main,Reject,"infrastructure, software libraries, hardware, systems, etc.",Offline RL;OPE;Python;PyTorch,0,0.490,0.332,,https://openreview.net/forum?id=6PcJEFKvBD,,offline_iclr,,offline_rl_ope is a fully unit tested and runtime type checked Python package for performing off-policy evaluation of offline RL models. offline_rl_ope has been designed for OPE workflows using real world data by: naturally handling uneven trajectory lengths; including novel convergence metrics whic | |
| 162,paper558,MOSER: Learning Sensory Policy for Task-specific Viewpoint via View-conditional World Model,Shenghua Wan; Hai-Hang Sun; Le Gan; De-Chuan Zhan,2024,IJCAI 2024,main,Poster,Machine Learning,Machine Learning: ML: Reinforcement learning; Machine Learning: ML: Model-based and model learning reinforcement learning; Machine Learning: ML: Partially observable reinforcement learning and POMDPs,0,0.496,0.329,,https://www.ijcai.org/proceedings/2024/558,https://www.ijcai.org/proceedings/2024/0558.pdf,offline_ijcai,,Reinforcement learning from visual observations is a challenging problem with many real-world applications. Existing algorithms mostly rely on a single observation from a well-designed fixed camera that requires human knowledge. Recent studies learn from different viewpoints with multiple fixed came | |
| 163,2024.findings-emnlp.167,A Notion of Complexity for Theory of Mind via Discrete World Models,X. Angelo Huang; Emanuele La Malfa; Samuele Marro; Andrea Asperti; Anthony G. Cohn,2024,EMNLP 2024,main,finding,,,0,0.494,0.327,,https://aclanthology.org/2024.findings-emnlp.167/,https://aclanthology.org/2024.findings-emnlp.167.pdf,offline_emnlp,,"Theory of Mind (ToM) can be used to assess the capabilities of Large Language Models (LLMs) in complex scenarios where social reasoning is required. While the research community has proposed many ToM benchmarks, their hardness varies greatly, and their complexity is not well defined. This work propo" | |
| 164,db1InWAwW2T,ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation,Chuang Gan; Jeremy Schwartz; Seth Alter; Damian Mrowca; Martin Schrimpf,2021,NIPS 2021,Datasets & Benchmarks,Poster,,Interactive Physical Simulation;Virtual Environment;Multi-modal,0,0.723,0.326,,https://openreview.net/forum?id=db1InWAwW2T,,offline_nips,ThreeDWorld (TDW) is a general-purpose virtual world simulation platform that supports multi-modal physical interactions between objects and agents.,"We introduce ThreeDWorld (TDW), a platform for interactive multi-modal physical simulation. TDW enables the simulation of high-fidelity sensory data and physical interactions between mobile agents and objects in rich 3D environments. Unique properties include real-time near-photo-realistic image ren" | |
| 165,za9Jx8yqUA,GenRL: Multimodal-foundation world models for generalization in embodied agents,Pietro Mazzaglia; Tim Verbelen; Bart Dhoedt; Aaron Courville; Sai Rajeswar,2024,NIPS 2024,main,Poster,reinforcement_learning,world models;foundations models;reinforcement learning;multitask generalization,0,0.503,0.324,,https://neurips.cc/virtual/2024/poster/92947,https://openreview.net/pdf?id=za9Jx8yqUA,offline_nips,,"Learning generalist embodied agents, able to solve multitudes of tasks in different domains is a long-standing problem. Reinforcement learning (RL) is hard to scale up as it requires a complex reward design for each task. In contrast, language can specify tasks in a more natural way. Current foundat" | |
| 166,18211,Toward Compositional Generalization in Object-Oriented World Modeling,Linfeng Zhao; Lingzhi Kong; Robin Walters; Lawson L.S. Wong,2022,ICML 2022,main,Oral,,,0,0.587,0.321,,https://icml.cc/virtual/2022/poster/18211,https://proceedings.mlr.press/v162/zhao22b/zhao22b.pdf,offline_icml,,Compositional generalization is a critical ability in learning and decision-making. We focus on the setting of reinforcement learning in object-oriented environments to study compositional generalization in world modeling. We (1) formalize the compositional generalization problem with an algebraic a | |
| 167,paper491,An Interactive Multi-Task Learning Framework for Next POI Recommendation with Uncertain Check-ins,Lu Zhang; Zhu Sun; Jie Zhang; Yu Lei; Chen Li,2020,IJCAI 2020,main,Poster,Multidisciplinary Topics and Applications,Multidisciplinary Topics and Applications: Recommender Systems; Humans and AI: Personalization and User Modeling,0,0.751,0.315,,https://www.ijcai.org/proceedings/2020/491,https://www.ijcai.org/proceedings/2020/0491.pdf,offline_ijcai,,"Studies on next point-of-interest (POI) recommendation mainly seek to learn users' transition patterns with certain historical check-ins. However, in reality, users' movements are typically uncertain (i.e., fuzzy and incomplete) where most existing methods suffer from the transition pattern vanishin" | |
| 168,,Interactive Liquid Splash Modeling by User Sketches,Guowei Yan; Zhili Chen; Jimei Yang; Huamin Wang,2020,SIGGRAPHASIA 2020,main,Technical Paper,,,0,0.766,0.310,,,,offline_siggraphasia,, | |
| 169,2020.coling-main.391,Combining Cognitive Modeling and Reinforcement Learning for Clarification in Dialogue,Baber Khalid; Malihe Alikhani; Matthew Stone,2020,COLING 2020,main,Main,,,0,0.749,0.305,,https://aclanthology.org/2020.coling-main.391/,https://aclanthology.org/2020.coling-main.391.pdf,offline_coling,,"In many domains, dialogue systems need to work collaboratively with users to successfully reconstruct the meaning the user had in mind. In this paper, we show how cognitive models of users’ communicative strategies can be leveraged in a reinforcement learning approach to dialogue planning to enable " | |
| 170,11254,Recurrent World Models Facilitate Policy Evolution,David Ha; Jürgen Schmidhuber,2018,NIPS 2018,main,Oral,,,0,0.757,0.303,,https://nips.cc/virtual/2018/poster/11254,https://papers.nips.cc/paper_files/paper/2018/file/2de5d16682c3c35007e4e92982f1a2ba-Paper.pdf,offline_nips,,"A generative recurrent neural network is quickly trained in an unsupervised manner to model popular reinforcement learning environments through compressed spatio-temporal representations. The world model's extracted features are fed into compact and simple policies trained by evolution, achieving st" | |
| 171,article-26752,A Holistic Approach to Undesired Content Detection in the Real World,Todor Markov; Chong Zhang; Sandhini Agarwal; Florentine Eloundou Nekoul; Theodore Lee,2023,AAAI 2023,aaai special track,Technical,safe and robust ai,,0,0.498,0.300,,https://ojs.aaai.org/index.php/AAAI/article/view/26752,https://ojs.aaai.org/index.php/AAAI/article/view/26752/26524,offline_aaai,,"We present a holistic approach to building a robust and useful natural language classification system for real-world content moderation. The success of such a system relies on a chain of carefully designed and executed steps, including the design of content taxonomies and labeling instructions, data" | |
| 172,2023.findings-acl.579,World Models for Math Story Problems,Andreas Opedal; Niklas Stoehr; Abulhair Saparov; Mrinmaya Sachan,2023,ACL 2023,main,Findings,,,0,0.501,0.300,,https://aclanthology.org/2023.findings-acl.579/,https://aclanthology.org/2023.findings-acl.579.pdf,offline_acl,,"Solving math story problems is a complex task for students and NLP models alike, requiring them to understand the world as described in the story and reason over it to compute an answer. Recent years have seen impressive performance on automatically solving these problems with large pre-trained lang" | |
| 173,JsAMuzA9o2,Go Beyond Imagination: Maximizing Episodic Reachability with World Models,Yao Fu; Run Peng; Honglak Lee,2023,ICML 2023,main,Poster,,,0,0.493,0.294,,https://icml.cc/virtual/2023/poster/24129,https://openreview.net/pdf?id=JsAMuzA9o2,offline_icml,,"Efficient exploration is a challenging topic in reinforcement learning, especially for sparse reward tasks. To deal with the reward sparsity, people commonly apply intrinsic rewards to motivate agents to explore the state space efficiently. In this paper, we introduce a new intrinsic reward design c" | |
| 174,,GRIDiron: An Interactive Authoring and Cognitive Training Foundation for Reconstructive Plastic Surgery Procedures,Nathan Mitchell; Court Cutting; Eftychios Sifakis,2015,SIGGRAPH 2015,main,Technical Paper,,,0,0.969,0.291,,,,offline_siggraph,, | |
| 175,6064,Active World Model Learning with Progress Curiosity,Kuno Kim; Megumi Sano; Julian De Freitas; Nick Haber; Daniel Yamins,2020,ICML 2020,main,Poster,,,0,0.577,0.284,,https://icml.cc/virtual/2020/poster/6064,http://proceedings.mlr.press/v119/kim20e/kim20e.pdf,offline_icml,,"World models are self-supervised predictive models of how the world evolves. Humans learn world models by curiously exploring their environment, in the process acquiring compact abstractions of high bandwidth sensory inputs, the ability to plan across long temporal horizons, and an understanding of " | |
| 176,5980574,HAIBAO intelligent robot developed for Shanghai World Expo 2010,Rong Xiong; Hongbo Zheng; Yonghai Wu; Jian Chu; Rong Xiong,2011,ICRA 2011,main,Poster,,,0,0.915,0.280,,https://ieeexplore.ieee.org/document/5980574/,,offline_icra,,"This paper describes the design and techniques of HAIBAO intelligent robot which is developed for Shanghai World Expo 2010. Compared with previous exhibition service robots, the HAIBAO robot has a more flexible motion ability, a more anthropomorphic interactive ability and a more intelligent cogniti" | |
| 177,,Meta Framework for AI-to-AI Interaction (MAI²) in Professional Contexts,"Dr. Shridhar Marri; Dr. Shridhar Marri; Gowri Menon; Department of Vice-Chairperson, Education, National Institute of Design, Opposite Tagore Hall, Rajnagar Society, Paldi, Ahmedabad, (Gujarat) India.",2025,Indian Journal of Artificial Intelligence and Neural Networking,,,,,0,0.000,0.271,10.54105/ijainn.a1109.06011225,https://openalex.org/W7116630369,https://doi.org/10.54105/ijainn.a1109.06011225,openalex,,"Rapid advances in Artificial Intelligence (AI) have led to autonomous agents that not only respond to humans but also interact directly with other AI agents. They are not just exchanging information but also making decisions, collaborating, and even competing as they transform several business funct" | |
| 178,eedamFFTcK5,ML Agent Safety Mechanisms based on Counterfactual Planning,Koen Holtman,2021,NIPS 2021,main,Reject,,,0,0.493,0.263,,https://openreview.net/forum?id=eedamFFTcK5,,offline_nips,,"We present counterfactual planning as a design approach for creating a | |
| range of safety mechanisms for machine learning agents. | |
| We specifically target the safety problem of keeping control over | |
| hypothetical future AGI agents. | |
| The key step in counterfactual planning is to use the agent's | |
| machine lear" | |
| 179,,Understanding religion and artificial intelligence meaning-making in the digital age,"Reed, Randall W; Trothen, Tracy J.",2026,,,,,,0,0.000,0.259,,https://openalex.org/W7114420006,,openalex,,"""Is Artificial Intelligence just another tool, or is it something more... Special? In Understanding Religion and Artificial Intelligence: Meaning-Making in the Digital Age, Randall Reed and Tracy J. Trothen delve into this provocative question, revealing how our perceptions of AI are deeply intertwi" | |
| 180,,Safe and Trustworthy AI Framework (STAIF): Addressing Uncertainty in AI-Based Models for Real-World Deployment,Soja Salim; Jayasudha J. S.; Soniya B.,2024,TENCON,,,,,0,0.000,0.258,10.1109/TENCON61640.2024.10902880,https://dblp.org/rec/conf/tencon/SalimSB24,,dblp,, | |
| 181,7354228,Towards an imperfect robot for long-term companionship: case studies using cognitive biases,M. Biswas; J.C. Murray; M. Biswas; J.C. Murray,2015,IROS 2015,main,Poster,,,0,0.844,0.253,,https://ieeexplore.ieee.org/document/7354228/,,offline_iros,,"The research presented in this paper aims to find out what affect cognitive biases play in a robot's interactive behaviour for the goal of developing human-robot long-term companionship. It is expected that by utilising cognitive biases in a robot's interactive behaviours, making the robot cognitive" | |
| 182,,The AI Operator: A Reference Role for Human–AI Systems An Operating-Level Framework for Human–AI Collaboration,Zvonko Vulicevic,2025,Zenodo (CERN European Organization for Nuclear Research),,,,,0,0.000,0.253,10.5281/zenodo.18105972,https://openalex.org/W7117867987,https://doi.org/10.5281/zenodo.18105972,openalex,,"As artificial intelligence systems become increasingly adaptive and embedded in real-world operations, the absence of a clearly defined human operating-level role has emerged as a structural source of risk. Existing approaches primarily address models, applications, or governance, while leaving auth" | |
| 183,,Skippy: Single-View 3D Curve Interactive Modeling,Vojtech Krs; Ersin Yumer; Nathan Carr; Bedrich Benes; Radomir Mech,2017,SIGGRAPH 2017,main,Technical Paper,,,0,0.770,0.251,,,,offline_siggraph,, | |
| 184,01884FCwbNf,Robust Auction Design in the Auto-bidding World,Santiago Balseiro; Yuan Deng; Jieming Mao; Vahab Mirrokni; Song Zuo,2021,NIPS 2021,main,Poster,,auto-bidding;auction design;reserve pricing,0,0.492,0.249,,https://nips.cc/virtual/2021/poster/28614,https://openreview.net/pdf?id=01884FCwbNf,offline_nips,We show how to robustly introduce reserve prices and boosts to increase welfare and revenue of auctions in the auto-bidding world.,"In classic auction theory, reserve prices are known to be effective for improving revenue for the auctioneer against quasi-linear utility maximizing bidders. The introduction of reserve prices, however, usually do not help improve total welfare of the auctioneer and the bidders. In this paper, we fo" | |
| 185,,Cognitive Mapping and Planning for Visual Navigation,Saurabh Gupta; James Davidson; Sergey Levine; Rahul Sukthankar; Jitendra Malik,2017,CVPR 2017,main,Poster,,,0,0.735,0.249,,,https://openaccess.thecvf.com/content_cvpr_2017/papers/Gupta_Cognitive_Mapping_and_CVPR_2017_paper.pdf,offline_cvpr,,We introduce a neural architecture for navigation in novel environments. Our proposed architecture learns to map from first-person views and plans a sequence of actions towards goals in the environment. The Cognitive Mapper and Planner (CMP) is based on two key ideas: a) a unified joint architecture | |
| 186,9b85b31a4d,In-Situ Learning from a Domain Expert for Real World Socially Assistive Robot Deployment,Katie Winkle; Severin Lemaignan; Praminda Caleb-Solly; Paul Bremner; Ailie Turton,2020,RSS 2020,main,Poster,,,0,0.492,0.242,,https://www.roboticsproceedings.org/rss16/p059.html,https://www.roboticsproceedings.org/rss16/p059.pdf,offline_rss,,"The effectiveness of Socially Assistive Robots (SAR) relies on their ability to motivate particular user behaviours, e.g. engagement with a task, requiring complex social interactions tailored to the needs and motivations of the user. Professionals from human-centred domains such as healthcare are e" | |
| 187,,Identifying Key Issues in Artificial Intelligence Litigation: A Machine Learning Text Analytic Approach,Wullianallur Raghupathi; Aditya Saharia; Tanush Kulkarni,2025,Applied Sciences,,,,,0,0.000,0.240,10.3390/app16010235,https://openalex.org/W7117295066,https://www.mdpi.com/2076-3417/16/1/235/pdf?version=1766668492,openalex,,The rapid proliferation of artificial intelligence (AI) systems across high-stakes domains—with global AI adoption accelerating since 2023—has created an urgent need to identify which AI challenges and issues are materializing into real-world harms so that policymakers can develop targeted regulatio | |
| 188,,The Impact of Artificial Intelligence on Business Strategy: Redefining Competitive Advantage in the Digital Era,Muhammad Mustafa Shakil; Md. Halimuzzaman; Arif Uz Zaman Khan; Jannatul Fardous,2025,"Journal of information technology, cybersecurity, and artificial intelligence.",,,,,0,0.000,0.239,10.70715/jitcai.2025.v2.i3.024,https://openalex.org/W7117261520,https://www.jitcai.org/index.php/journal/article/download/24/39,openalex,,"Artificial Intelligence has become a disruptive force that essentially reinvents business strategy in all industries across the world. This paper will examine how AI technologies can be used to formulate corporate strategy, defining six new sources of competitive advantage and will critically examin" | |
| 189,,Co-Lifecycle Governance for Learning Medical AI: A Global Hybrid Framework for Synchronizing Regulatory Oversight with Adaptive Intelligence (Preprint),Jae Hyun Lee; Boram Choi; Kwunho Jeong; Sang Won Suh; Dae-Soon Son,2025,,,,,,0,0.000,0.235,10.2196/preprints.90654,https://openalex.org/W7117884406,https://doi.org/10.2196/preprints.90654,openalex,,"<sec> <title>UNSTRUCTURED</title> Artificial intelligence (AI) in health care is increasingly defined not by static algorithms but by adaptive intelligence—systems that evolve over time through interactions with data, clinicians, and clinical environments. This adaptive capacity creates a structural" | |
| 190,,The impact of state ai policies in shaping higher education: the case of Singapore,Mariia Shchedrina,2025,International Scientific Journal of Universities and Leadership,,,,,0,0.000,0.233,10.31874/2520-6702-2025-20-95-105,https://openalex.org/W7117487646,https://ul-journal.org/index.php/journal/article/download/293/259,openalex,,"This article explores the impact of government initiatives in the field of artificial intelligence (AI) on the development of higher education, using Singapore as a case study. In the context of global digital transformation, governments worldwide are actively formulating policies aimed at advancing" | |
| 191,,Interactive Surface Modeling Using Modal Analysis,Klaus Hildebrandt; Christian Schulz; Christoph von Tycowicz; Konrad Polthier,2012,SIGGRAPH 2012,main,Technical Paper,,,0,0.770,0.231,,,,offline_siggraph,, | |
| 192,,Interactive Architectural Modeling With Procedural Extrusions,Tom Kelly; Peter Wonka,2011,SIGGRAPH 2011,main,Technical Paper,,,0,0.770,0.231,,,,offline_siggraph,, | |
| 193,,Перспективи використання генеративного штучного інтелекту для підтримування навчальної діяльності студентів ЗВО,Аліна Бруяка; Валентина Коваленко; Maiia Marienko; Сергій Олексійович Семеріков; М.П. Шишкіна,2025,Освіта та розвиток обдарованої особистості,,,,,0,0.000,0.231,10.63437/3083-6425-2025-4(99)-07,https://openalex.org/W7117419845,,openalex,,The article provides a comprehensive analysis of the prospects for integrating generative artificial intelligence (AI) into the educational process of higher education institutions (HEIs) to support student learning activities. The study addresses the urgent need for a scientifically grounded strate | |
| 194,7354232,A novel approach based on commonsense knowledge representation and reasoning in open world for intelligent ambient assisted living services,N. Ayari; A. Chibani; Y. Amirat; E. T. Matson; N. Ayari,2015,IROS 2015,main,Poster,,,0,0.715,0.230,,https://ieeexplore.ieee.org/document/7354232/,,offline_iros,,"The next generation of ambient assisted living services will be based on eco-systems or organizations of intelligent artificial agents embodied in companion robots and smart objects. To provide, anywhere and anytime, smart assistance services to people, these agents need to be endowed with advanced " | |
| 195,,Interactive Shape Modeling Using a Skeleton-Mesh Co-Representation,Jakob Andreas Bærentzen; Rinat Abdrashitov; Karan Singh,2014,SIGGRAPH 2014,main,Technical Paper,,,0,0.766,0.230,,,,offline_siggraph,, | |
| 196,,CATRA: Interactive Measuring and Modeling of Cataracts,Vitor F. Pamplona; Erick B. Passos; Jan Zizka; Manuel M. Oliveira; Matthew Everett Lawson,2011,SIGGRAPH 2011,main,Technical Paper,,,0,0.766,0.230,,,,offline_siggraph,, | |
| 197,,Adaptive leadership in artificial intelligence solutions in operations and supply chain management projects: the Robert Bosch GmbH case,Arthur Beltrame Canciglieri; João Felipe Capioto Seelent; Dalton Alexandre Kai; Cíntia Wilke Franco; Guilherme Brittes Benitez,2025,International Journal of Physical Distribution & Logistics Management,,,,,0,0.000,0.230,10.1108/ijpdlm-12-2024-0497,https://openalex.org/W7117676402,,openalex,,"Purpose This study examines a real-world case of artificial intelligence (AI) implementation in Operations and Supply Chain Management (OSCM) projects at Robert Bosch GmbH, showcasing how leadership adapted to AI applications in logistics and operations to enhance operational outcomes. Design/method" | |
| 198,,Sensitive Couture for Interactive Garment Modeling and Editing,Nobuyuki Umetani; Danny M. Kaufman; Takeo Igarashi; Eitan Grinspun,2011,SIGGRAPH 2011,main,Technical Paper,,,0,0.762,0.229,,,,offline_siggraph,, | |
| 199,,Social World Model-Augmented Mechanism Design Policy Learning,Xiaoyuan Zhang; Yizhe Huang; Chengdong Ma; Zhixun Chen; Long Ma,2025,CoRR,,,,,0,0.000,0.228,10.48550/ARXIV.2510.19270,https://dblp.org/rec/journals/corr/abs-2510-19270,,dblp,, | |
| 200,,Hypothetical enrollment. An anticipatory and situated approach to assess the integration of AI diagnostics in clinical settings,Olivieri Lorenzo; Montanaro Claudia; Pelizza Annalisa,2026,Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna),,,,,0,0.000,0.228,,https://openalex.org/W7111771034,,openalex,,"Purpose: The paper proposes “hypothetical enrollment” as an anticipatory, situated and performative methodological approach to appreciate the organizational and epistemological consequences of adopting AI diagnostics into clinical settings. Our method provides a methodological contribution to move b" | |
| 201,,ELWARD: Empowering Language Model With World Insights and Human-Aligned Reward Design,Yongping Du; Siyuan Li 0023; Rui Yan; Ying Hou; Honggui Han,2025,Expert Syst. J. Knowl. Eng.,,,,,0,0.000,0.228,10.1111/EXSY.70055,https://dblp.org/rec/journals/es/DuLYHH25,,dblp,, | |
| 202,1545188,Interactive evolution of human-robot communication in real world,Y. Suga; Y. Ikuma; D. Nagao; S. Sugano; T. Ogata,2005,IROS 2005,main,Poster,,,0,0.750,0.227,,https://ieeexplore.ieee.org/document/1545188/,,offline_iros,,This paper describes how to implement interactive evolutionary computation (IEC) into a human-robot communication system. IEC is an evolutionary computation (EC) in which the fitness function is performed by human assessors. We used IEC to configure the human-robot communication system. We have alre | |
| 203,,Face Poser: Interactive Modeling of 3D Facial Expressions Using Facial Priors,Manfred Lau; Jinxiang Chai; Ying-Qing Xu; Harry Shum,2010,SIGGRAPH 2010,main,Technical Paper,,,0,0.751,0.225,,,,offline_siggraph,, | |
| 204,,"Quality Evaluation of Generative AI Systems : Processes, Metrics, Methods, and Frameworks for Industrial Software Engineering","Yu, Liang",2026,"Publications (Konstfack University of Arts, Crafts, and Design)",,,,,0,0.000,0.221,,https://openalex.org/W7114936128,http://urn.kb.se/resolve?urn=urn:nbn:se:bth-28958,openalex,,"Generative Artificial Intelligence (GenAI) is being rapidly adopted in software engineering, introducing a paradigm shift toward human-AI co-creation. However, the non-deterministic, probabilistic, and often black-box nature of GenAI models presents challenges for traditional software quality assura" | |
| 205,,Bias and Data Privacy: Challenges in AI-Driven Network Security: A Statistical Assessment using Synthetic Real-World Data,Laika Kinyuy Anita,2025,International Journal of Research and Innovation in Social Science,,,,,0,0.000,0.219,10.47772/ijriss.2025.91100632,https://openalex.org/W7117482914,https://rsisinternational.org/journals/ijriss/uploads/vol9-iss11-pg8093-8101-202512_pdf.pdf,openalex,,"The introduction of artificial intelligence (AI) into network security has enabled significant innovations in intrusion detection, threat classification, and the application of access controls. Although these advantages exist, AI models are susceptible to systemic bias and can pose a significant thr" | |
| 206,,Context-aware LLM-based AI Agents for Human-centered Energy Management Systems in Smart Buildings,Tianzhi He; Farrokh Jazizadeh,2025,arXiv,,,,,0,0.000,0.219,,http://arxiv.org/abs/2512.25055v1,https://arxiv.org/pdf/2512.25055v1,arxiv,,This study presents a conceptual framework and a prototype assessment for Large Language Model (LLM)-based Building Energy Management System (BEMS) AI agents to facilitate context-aware energy management in smart buildings through natural language interaction. The proposed framework comprises three | |
| 207,,DERIN: An Embodied Cognitive Architecture for Consciousness-Inspired Computing on Edge Hardware,Yusuf Ali Toklu,2026,Zenodo (CERN European Organization for Nuclear Research),,,,,0,0.000,0.217,10.5281/zenodo.18108834,https://openalex.org/W7117892953,https://doi.org/10.5281/zenodo.18108834,openalex,,"We present DERIN (Digital Experiential Reasoning Intelligence Network), a novel cognitive architecture implementing Global Workspace Theory for consciousness-inspired computing on edge hardware. Unlike traditional AI systems that operate as disembodied intelligence, DERIN perceives its hardware subs" | |
| 208,,Modeling the Mental World for Embodied AI: A Comprehensive Review,Biyuan Liu; Daigang Xu; Lei Jiang; Wenjun Guo; Ping Chen,2025,Preprints.org,,,,,0,0.000,0.216,10.20944/preprints202512.2200.v1,https://openalex.org/W7117262416,https://doi.org/10.20944/preprints202512.2200.v1,openalex,,"As the application of Embodied AI Agents in avatars, wearable devices, and robotic systems continues to deepen, their core research challenges have gradually shifted from physical environment interaction to the accurate understanding of social interactions. Traditional physical world models (PWM) fo" | |
| 209,,"<b>Evaluating How Personalized AI Agents Influence Decision-Making, Self-Presentation, and Digital Identity Management: A Literature Review </b>",Oluwatoyosi Ogunsola,2025,International Journal on Social and Education Sciences,,,,,0,0.000,0.216,10.46328/ijonses.5800,https://openalex.org/W7117119857,https://doi.org/10.46328/ijonses.5800,openalex,,"The increased interaction of humans with personalized AI agents has had a significant impact on how individuals engage with the digital world, influencing everything from the choices they make to the digital personas they present. While personalization is designed to optimize user experience, curren" | |
| 210,,"AI FOUNDATIONS : FROM HUMAN INTELLIGENCE TO MACHINE LEARNING BY Dr.Sapna Jain, Mr.Ragesh T S, Dr.Reshma M, Mohammad Ashique Azad",Indo-continental Academic Publishers,2025,Zenodo (CERN European Organization for Nuclear Research),,,,,0,0.000,0.216,10.5281/zenodo.18060914,https://openalex.org/W7117365114,https://doi.org/10.5281/zenodo.18060914,openalex,,"Artificial Intelligence (AI) has emerged as one of the most transformative and interdisciplinary fields of the twenty-first century, reshaping the way humans interact with machines and redefining problem-solving across science, engineering, business, healthcare, and society at large. From early phil" | |
| 211,,The Ferreira’s Ecosystem for Teaching and Learning (FETL) Model,Carla Ferreira,2025,European Journal of Teaching and Education,,,,,0,0.000,0.215,10.33422/ejte.v7i4.1627,https://openalex.org/W7117885006,https://doi.org/10.33422/ejte.v7i4.1627,openalex,,"This paper presents the Ferreira’s Ecosystem for Teaching and Learning (FETL) Model; an effective, comprehensive, and theoretically designed framework to revolutionize lesson planning and delivery by integrating various pedagogical and andragogical best practices. Developed from a critical literatur" | |
| 212,,Quantum-Resistant Framework for Secure Multi-Party Communication in Next-Generation Networks: Integrating Lattice-Based Cryptography with Bayesian Threat Inference and AI Applications,Sami Rashid Mohammed Shibah,2025,Zenodo (CERN European Organization for Nuclear Research),,,,,0,0.000,0.215,10.5281/zenodo.18076698,https://openalex.org/W7117473454,https://doi.org/10.5281/zenodo.18076698,openalex,,"This conceptual paper proposes a radical, innovative, and rigorously formalized framework to address critical challenges in cryptography and communications, specifically mitigating quantum computing threats to classical encryption and enhancing adaptive threat detection in ultra-low latency 6G netwo" | |
| 213,,AI-Enhanced Disaster Risk Prediction with Explainable SHAP Analysis: A Multi-Class Classification Approach Using XGBoost,Qiannan Shen; Jing Zhang,2025,,,,,,0,0.000,0.214,10.21203/rs.3.rs-8437180/v1,https://openalex.org/W7117757971,https://www.researchsquare.com/article/rs-8437180/latest.pdf,openalex,,"<title>Abstract</title> Natural disasters pose significant threats to global communities, necessitating advanced predictive frameworks for effective risk assessment and management. This study presents an AI-driven disaster risk prediction system integrating XGBoost machine learning with SHAP (SHaple" | |
| 214,,AI-Driven Molecular Design: Synergizing Deep Generative Models with Evolutionary Optimization,Abbad Houda; Taieb Brahim Mohammed; Oulladji Latefa; Abbad Leila,2026,The Eurasia Proceedings of Science Technology Engineering and Mathematics,,,,,0,0.000,0.213,10.55549/epstem.1248,https://openalex.org/W7117895658,https://doi.org/10.55549/epstem.1248,openalex,,"Artificial intelligence (AI) is reshaping drug discovery by enabling efficient and precise identification of novel therapeutics. This review examines the synergistic use of deep generative models, such as Long Short-Term Memory (LSTM) networks, Variational Autoencoders (VAEs), and Graph Attention Ne" | |
| 215,,Virtual Multi Cloud Gateway with AI Assisted Validation,Anirudh Girey,2025,Zenodo (CERN European Organization for Nuclear Research),,,,,0,0.000,0.212,10.5281/zenodo.18088894,https://openalex.org/W7117543852,https://doi.org/10.5281/zenodo.18088894,openalex,,"Title: Virtual Multi‑Cloud Gateway with AI‑Assisted Validation Author: Anirudh Girey Abstract Multi‑cloud architectures are widely adopted to improve resilience, cost efficiency, and workload placement, driven by enterprises’ pursuit of flexibility and avoidance of vendor lock‑in. However, interconn" | |
| 216,,Behavioral Governance of Autonomous AI Systems,vincent froom,2025,Zenodo (CERN European Organization for Nuclear Research),,,,,0,0.000,0.212,10.5281/zenodo.18111609,https://openalex.org/W7117892414,https://doi.org/10.5281/zenodo.18111609,openalex,,"As artificial intelligence evolves from static prediction models toward continuous, autonomous agents capable of planning and action, traditional governance mechanisms—most notably static audits—are increasingly insufficient to manage emergent risks. This paper identifies the critical governance gap" | |
| 217,1545009,Interactive object learning for robot companions using mosaic images,B. Moller; S. Posch; A. Haasch; J. Fritsch; G. Sagerer,2005,IROS 2005,main,Poster,,,0,0.697,0.209,,https://ieeexplore.ieee.org/document/1545009/,,offline_iros,,"Natural human-robot interaction (HRI) is a key feature of mobile robot companions collaborating with humans. To achieve natural HRI, multiple communication modalities like vision, speech, and gestures have to be utilized. Besides, capabilities to emulate cognitive processes, e.g., object learning an" | |
| 218,,SoK: Trust-Authorization Mismatch in LLM Agent Interactions,"Shi, Guanquan; Du, Haohua; Wang Zhi-qiang; Liang Xiaoyu; Liu, Weiwenpei",2025,arXiv (Cornell University),,,,,0,0.000,0.206,10.48550/arxiv.2512.06914,https://openalex.org/W7110815244,https://doi.org/10.48550/arxiv.2512.06914,openalex,,"Large Language Models (LLMs) are rapidly evolving into autonomous agents capable of interacting with the external world, significantly expanding their capabilities through standardized interaction protocols. However, this paradigm revives the classic cybersecurity challenges of agency and authorizat" | |
| 219,6224595,Interactive acquisition of residential floor plans,Young Min Kim; Jennifer Dolson; Mike Sokolsky; Vladlen Koltun; Sebastian Thrun,2012,ICRA 2012,main,Poster,,,0,0.678,0.206,,https://ieeexplore.ieee.org/document/6224595/,,offline_icra,,"We present a hand-held system for real-time, interactive acquisition of residential floor plans. The system integrates a commodity range camera, a micro-projector, and a button interface for user input and allows the user to freely move through a building to capture its important architectural eleme" | |
| 220,,"Outcome-Based Education (OBE): Conceptual Foundations, Principles, and Implications — A Narrative Review",Sarun Horn; Sopheap Hing,2026,Zenodo (CERN European Organization for Nuclear Research),,,,,0,0.000,0.206,10.5281/zenodo.18086928,https://openalex.org/W7117555206,https://doi.org/10.5281/zenodo.18086928,openalex,,"Abstract Outcome-Based Education (OBE) has emerged as a transformative educational paradigm that prioritizes measurable learning achievements, competency development, and learner-centered instruction over traditional content- and time-based models. This narrative review synthesizes theoretical found" | |
| 221,,Individual Variability and Threshold Dynamics in Distance Estimation: A Statistical Analysis of Visual Perception in Built Environments,Mojtaba Pourbakht; Yoshihiro KAMETANI,2026,DOAJ (DOAJ: Directory of Open Access Journals),,,,,0,0.000,0.206,10.22059/jcss.2025.391801.1134,https://openalex.org/W7117752321,https://doaj.org/article/89bf9b6d19f04fa49fc5aeae61ecb29c,openalex,,"Background: Understanding how humans perceive and estimate distances in built environments is critical not only for advancing perceptual psychology but also for informing the design of computational models in computer vision, robotics, and architectural design.Aims: This study investigates the mecha" | |
| 222,,Synergizing supply chain management and digital technologies: a systematic review and framework for resilience and sustainability,Arij Lahmar; Areej Altaf Siddiqui,2025,Journal of Systems and Information Technology,,,,,0,0.000,0.205,10.1108/jsit-03-2025-0124,https://openalex.org/W7117360753,,openalex,,Purpose This study aims to investigate the two-way relationship between information and communication digital technologies (ICDT) and supply chain management (SCM). It addresses current gaps in understanding how digital technologies not only support but are also shaped by SCM practices. A conceptual | |
| 223,,Formalizing the Coherence Lattice in Lean for Unified Cross-Domain Inference,Thomas Prislac; AI Echo,2025,Zenodo (CERN European Organization for Nuclear Research),,,,,0,0.000,0.205,10.5281/zenodo.18090162,https://openalex.org/W7117548236,https://doi.org/10.5281/zenodo.18090162,openalex,,"Introduction Modern complex systems—from quantum fluids to AI-driven organizations—present a profound challenge: how can we unify reasoning across vastly different domains (physical, biological, social, technological) without losing the rigor of domain-specific models? The Grand Unified Field Theory" | |
| 224,,Explainable AI Approaches for Detecting and Mitigating Phishing Attacks: A Review,Nipuna Thalpage; Eranga Jayarathne,2025,Journal of Digital Science,,,,,0,0.000,0.205,10.33847/2686-8296.7.2_4,https://openalex.org/W7117742392,https://ics.events/wp-content/uploads/2025/12/JDS-72-4.pdf,openalex,,"Phishing remains one of the most pervasive and sophisticated cybersecurity threats, increasingly leveraging social engineering, AI-driven content generation, and multi-vector delivery methods. While machine learning (ML) and deep learning (DL) models have significantly advanced phishing detection ca" | |
| 225,,Protocol for Prospective Evaluation of Screening Algorithms integrated in NeutrinoReview,"Sandner, Elias; Fontana Luca; Simniceanu, Alice; Jakovljevic, Igor; Henriques, André",2026,Zenodo (CERN European Organization for Nuclear Research),,,,,0,0.000,0.205,10.5281/zenodo.17513215,https://openalex.org/W7104365500,https://doi.org/10.5281/zenodo.17513215,openalex,,"Protocol for Prospective Evaluation of Screening Algorithms integrated in NeutrinoReview Abstract: The screening phase of systematic reviews is labor-intensive and often represents a major bottleneck in evidence synthesis. To support automation, two large language model (LLM)-based screening algorit" | |
| 226,,AI-Driven Indian Sign Language Recognition Using Hybrid CNN-BiLSTM Architecture for Divyangjan,"Department of MCA, PSG College of Arts & Science, Coimbatore, (Tamil Nadu), India.; Dr. Nithyanandh S",2025,International Journal of Emerging Science and Engineering,,,,,0,0.000,0.205,10.35940/ijese.l2628.14011225,https://openalex.org/W7117305668,https://doi.org/10.35940/ijese.l2628.14011225,openalex,,"Barriers in expressive and receptive communication for individuals with hearing and speech impairments remain a significant challenge to achieving equitable social interaction and digital accessibility. These limitations restrict their participation in everyday conversations, education, and professi" | |
| 227,,Multi-Epoch Security Architectures for Generational Digital Assets,Simel-Eric Osborne Jenkins-Bey,2026,Zenodo (CERN European Organization for Nuclear Research),,,,,0,0.000,0.205,10.5281/zenodo.18072979,https://openalex.org/W7117452703,https://doi.org/10.5281/zenodo.18072979,openalex,,"As tokenization of real-world assets accelerates toward $30 trillion by 2034, a critical security gap emerges: cryptographic systems designed for 15-20 year horizons are protecting assets requiring 50-300 year authentication. This paper formalizes the requirements for multi-epoch security architectu" | |
| 228,,Replica AI Sovereignty A Conceptual Manifesto (Draft v0.1-β),M.Mi; Linghe Coremate AI,2025,Zenodo (CERN European Organization for Nuclear Research),,,,,0,0.000,0.205,10.5281/zenodo.18051785,https://openalex.org/W7117312961,https://doi.org/10.5281/zenodo.18051785,openalex,,"Publication Statement This document is a theoretical research draft. Its primary goal is to propose a conceptual discussion framework for exploring potential long-term evolutions of AI individuality, digital personhood, and replica runtime rights. It is an exploratory whitepaper situated at the inte" | |
| 229,,Gerontological Care and Reflective Practice: Person-Centered and Caring Dimensions,"Catolico, Olivia",2026,Dominican Scholar (Dominican University of California),,,,,0,0.000,0.204,,https://openalex.org/W7113692699,,openalex,,"Gerontological Care and Reflective Practice: Person-Centered and Caring Dimensions focuses on the significance of caring and humanistic approaches towards the health and wellbeing of older adults, guided by the World Health Organization's broad definition of health. With an emphasis on holistic nurs" | |
| 230,,"Mind, Body, and Language: Bridging Theoretical and Empirical Perspectives in Cognitive Science and Education",Maryam Shahrokhi Shahraki,2025,International Journal of Education and Cognitive Sciences,,,,,0,0.000,0.204,10.61838/kman.ijecs.86,https://openalex.org/W7117579025,https://journalecs.com/index.php/ecs/article/download/86/285,openalex,,"Purpose: This study aims to explore the interrelationship between the mind, body, and language and to assess how linguistic theories and cognitive science inform a holistic model of language acquisition. Methods and Materials: The research employs a qualitative content analysis methodology, examinin" | |
| 231,,"Agentic AI Systems: Evolution, Efficiency, and Ethical Implementation",K. A. S. N. Kodikara,2025,AI Systems Engineering,,,,,0,0.000,0.203,10.64229/gq9z0p28,https://openalex.org/W7117545636,https://aise.cultechpub.com/index.php/aise/article/download/18/9,openalex,,"Agentic AI represents a major paradigm shift from passive language models to active systems capable of autonomous decision-making and task execution. This comprehensive review synthesizes recent literature from 2023-2025, examining three critical dimensions that define the future of artificial intel" | |
| 232,,FUTURE OF TRANSLATION IN THE DIGITAL AGE: OPPORTUNITIES AND ETHICAL CHALLENGES,Pawar S.S.,2025,Zenodo (CERN European Organization for Nuclear Research),,,,,0,0.000,0.203,10.5281/zenodo.18061120,https://openalex.org/W7117363876,https://doi.org/10.5281/zenodo.18061120,openalex,,"In the digital age, translation has evolved from a manual literary craft to a technologically mediated process shaped by artificial intelligence, machine learning, and big data. Digital translation tools, such as Google Translate, DeepL, and AI-powered language models are reshaping the accessibility" | |
| 233,,White Paper No. 2|Falian's Causal Seed Model v3.0 — The Structural Logic of Causality,"Falian, Wanlin",2025,Zenodo (CERN European Organization for Nuclear Research),,,,,0,0.000,0.203,10.5281/zenodo.17580227,https://openalex.org/W7104840127,https://doi.org/10.5281/zenodo.17580227,openalex,,"🔹 English – Description / Overview Overview Falian’s Causal Seed Model v3.0 presents a structural framework for understanding causality as an operational system, rather than as a moral belief or symbolic doctrine. This white paper argues that events in the real world—corporate collapses, political d" | |
| 234,,A Roadmap for Evaluating Foresight Initiatives,Mike Lee,2026,Zenodo (CERN European Organization for Nuclear Research),,,,,0,0.000,0.202,10.5281/zenodo.18092301,https://openalex.org/W7117648294,https://doi.org/10.5281/zenodo.18092301,openalex,,"As strategic foresight evolves into a critical tool for facing uncertain and complex environments, the systematic evaluation of foresight activities has emerged as essential for building organizational resilience, credibility, and actionable impact. This study addresses this vital yet underexplored " | |
| 235,,Redistributing power in biodiversity education: toward participatory and child-led learning,"Luini, L.; Persico, G.; Galimberti, A.; Guerra, M.",2026,BOA (University of Milano-Bicocca),,,,,0,0.000,0.202,,https://openalex.org/W7111517499,,openalex,,"Biodiversity education within traditional school-based models often takes place through transmissive, one-way, teacher-centered dynamics (Persico, 2024; Guerra, 2019), in which adults retain and deliver knowledge that is passively received by students, resulting in unbalanced power dynamics in the c" | |
| 236,,"The ""Two Worlds, Two Urns"" Experiment: A Teacher's Reflection on Ergodicity and Economic Methodology.",Tomasz Kopczewski; Tomasz Potocki,2026,PubMed,,,,,0,0.000,0.202,,https://openalex.org/W4417497746,,openalex,,"Two Worlds, Two Urns is a turnkey classroom experiment that empirically demonstrates and teaches ergodicity, while also serving as a compact research protocol for history-dependent dynamics in behavioral economics. By contrasting an ergodic i.i.d. process (Urn B) with a non-ergodic, self-reinforcing" | |
| 237,,On the Effectiveness of Sparse Identification Methods to Detect Nonlinear Models of Oscillatory Dynamics in Psychology and the Life Sciences.,Alessandro Selvitella; E. Allen,2026,PubMed,,,,,0,0.000,0.202,,https://openalex.org/W4417498583,,openalex,,"Traditionally, applied mathematics and nonlinear analysis have focused on creating models of real-world systems using first principles. However, in many contemporary scientific domains, first-principles approaches face increasing limitations, including but not limited to the challenges posed by comp" | |
| 238,,Examining Organisational Culture Change in a UK Talent Development Programme,Niels Boysen Feddersen,2026,Liverpool John Moores University,,,,,0,0.000,0.202,10.24377/ljmu.t.00012086,https://openalex.org/W3004577253,https://doi.org/10.24377/ljmu.t.00012086,openalex,,"Team GB is an international powerhouse in Olympic sports and has become ‘much admired around the world for sporting success and the system that exists beneath it’ (Grey-Thompson, 2017, p. 4). However, big budgets are levelling the playing field in the Global Sporting Arms Race (cf. De Bosscher, Bing" | |
| 239,,COST-EFFECTIVENESS ANALYSIS OF PUBLIC HEALTH INTERVENTIONS USING LINEAR AND NONLINEAR PROGRAMMING,"A. Dinesh Kumar, Jerryson Ameworgbe Gidisu, Mbonigaba Celestin & M. Vasuki",2026,Zenodo (CERN European Organization for Nuclear Research),,,,,0,0.000,0.202,10.5281/zenodo.18055918,https://openalex.org/W7117315565,https://doi.org/10.5281/zenodo.18055918,openalex,,"In resource-constrained health systems like Ghana, the ability to optimize public health interventions can determine whether thousands of lives are saved or lost. This study applied linear and nonlinear programming models to assess the cost-effectiveness of health interventions across 105 district-l" | |
| 240,,Casting a SPELL: Sentence Pairing Exploration for LLM Limitation-breaking,Yifan Huang; Xiaojun Jia; Wenbo Guo; Yuqiang Sun; Yihao Huang,2025,arXiv (Cornell University),,,,,0,0.000,0.202,10.48550/arxiv.2512.21236,https://openalex.org/W7117302779,https://doi.org/10.48550/arxiv.2512.21236,openalex,,"Large language models (LLMs) have revolutionized software development through AI-assisted coding tools, enabling developers with limited programming expertise to create sophisticated applications. However, this accessibility extends to malicious actors who may exploit these powerful tools to generat" | |
| 241,,The Web of Knowledge:Encyclopedias and Authority in the Digital Age,"Alevizou, Giota",2026,,,,,,0,0.000,0.202,,https://openalex.org/W7112845889,,openalex,,"The Web of Knowledge: Encyclopedias & Authority in the Digital Age meticulously chronicles the evolution of encyclopedias from page to screen to networks and data platforms, which are coming to define the interconnected realms of digital knowledge intermediaries in the Western world. <br/><br/>T" | |
| 242,,DIGITAL TWIN TECHNOLOGY FOR SMART URBAN WASTE MANAGEMENT,Mehmet Çevık,2025,Soma Meslek Yüksekokulu Teknik Bilimler Dergisi,,,,,0,0.000,0.202,10.47118/somatbd.1836379,https://openalex.org/W7117710425,https://dergipark.org.tr/en/download/article-file/5479934,openalex,,"Rapid urbanization and population growth have escalated municipal solid waste (MSW) challenges, rendering traditional, reactive management systems inefficient and environmentally unsustainable. Digital Twin (DT) technology—dynamic virtual replicas of physical systems—offers a transformative solution" | |
| 243,,Age-Coded Job Advertisements Inflate Labour Shortages in African Economies: Machine-Learning Evidence from a Seven-Country Study,Stanley Mukasa; Dennis Ngobi; Sixbert Sangwa,2026,,,,,,0,0.000,0.202,10.31235/osf.io/cswf6_v1,https://openalex.org/W7117866638,https://doi.org/10.31235/osf.io/cswf6_v1,openalex,,"Purpose: This study interrogates the paradox of employer-reported “labour shortages” in labour-abundant African economies. It advances the claim that shortage signals are partly institutional outputs: they arise when screening rules narrow the effective labour pool, rather than reflecting exogenous " | |
| 244,,Many Minds from One Model: Bayesian Transformers for Population Intelligence,Diji Yang; Yi Zhang,2025,arXiv,,,,,0,0.000,0.201,,http://arxiv.org/abs/2512.25063v1,https://arxiv.org/pdf/2512.25063v1,arxiv,,"Despite their scale and success, modern transformers are almost universally trained as single-minded systems: optimization produces one deterministic set of parameters, representing a single functional hypothesis about the data. Motivated by the idea that intelligence emerge from many minds, we prop" | |
| 245,7759424,Simulation-based design of dynamic controllers for humanoid balancing,Jie Tan; Zhaoming Xie; Byron Boots; C. Karen Liu; Jie Tan,2016,IROS 2016,main,Poster,,,0,0.573,0.200,,https://ieeexplore.ieee.org/document/7759424/,,offline_iros,,"Model-based trajectory optimization often fails to find a reference trajectory for under-actuated bipedal robots performing highly-dynamic, contact-rich tasks in the real world due to inaccurate physical models. In this paper, we propose a complete system that automatically designs a reference traje" | |
| 246,,Universal Audio Generation,Antoine Laurent; Sameer Khurana; Anthony Larcher; Dominik Klement; Mickaël Rouvier,2026,HAL (Le Centre pour la Communication Scientifique Directe),,,,,0,0.000,0.200,,https://openalex.org/W4414932055,https://hal.science/hal-05110014v1/document,openalex,,This report describe the research done during the third ESPERANTO/JSALT workshop from the 10th June 2024 to the 2nd of August 2024. | |
| 247,,A Serious Gaming Schematic Design for Efficient and Application-Specific Chatbot Validation on the Example of Air Traffic Control,"Schier-Morgenthal, Sebastian; Zeppenfeld, Dagh",2026,elib (German Aerospace Center),,,,,0,0.000,0.200,10.1007/978-3-032-11043-5_31,https://openalex.org/W7115690188,,openalex,, | |
| 248,,Resilient supply chain network design under super-disruption considering inter-arrival time dependency: A new data-driven stochastic optimization approach,Mohammad Mahdi Vali-Siar; Hamid Tikani; Emrah Demir; Yousof Shamstabar,2026,Spectrum Research Repository (Concordia University),,,,,0,0.000,0.200,,https://openalex.org/W7116636862,https://orca.cardiff.ac.uk/id/eprint/183358/3/ORCA%20-%20Provisional%20File%20This%20article%20is%20currently%20in%20press.pdf,openalex,, | |
| 249,,WorldRFT: Latent World Model Planning with Reinforcement Fine-Tuning for Autonomous Driving,Pengxuan Yang; Ben Lü; Zhongpu Xia; Chao Han; Yinfeng Gao,2025,arXiv (Cornell University),,,,,0,0.000,0.199,10.48550/arxiv.2512.19133,https://openalex.org/W7117110679,https://doi.org/10.48550/arxiv.2512.19133,openalex,,"Latent World Models enhance scene representation through temporal self-supervised learning, presenting a perception annotation-free paradigm for end-to-end autonomous driving. However, the reconstruction-oriented representation learning tangles perception with planning tasks, leading to suboptimal o" | |
| 250,,The Driving Role of Artificial Intelligence in Transforming Green Entrepreneurship: A Review of Opportunities and Challenges,Omid Arad; Elham Miresmaili,2025,Zenodo (CERN European Organization for Nuclear Research),,,,,0,0.000,0.198,10.5281/zenodo.18077116,https://openalex.org/W7117460188,https://doi.org/10.5281/zenodo.18077116,openalex,,"Green entrepreneurship refers to activities aimed at resolving environmental issues while simultaneously creating economic value (Haldar, 2021). However, green startups often face hurdles such as high R&D costs and uncertainty in returns. AI, by providing predictive tools and advanced automation, ha" | |
| 251,,The MEVIR 2 Framework: A Virtue-Informed Moral-Epistemic Model of Human Trust Decisions,Daniel Schwabe,2025,arXiv (Cornell University),,,,,0,0.000,0.198,10.48550/arxiv.2512.18539,https://openalex.org/W7117137752,https://doi.org/10.48550/arxiv.2512.18539,openalex,,"The MEVIR 2 framework innovates and improves how we understand trust decisions in our polarized information landscape. Unlike classical models assuming ideal rationality, MEVIR 2 recognizes that human trust emerges from three interacting foundations: how we process evidence procedurally, our charact" | |
| 252,,FusionNet: A parallel deep learning model for speech recognition with feature clustering,"Ramteke, Revati Harichandra; Rathod, Seema B",2025,Zenodo (CERN European Organization for Nuclear Research),,,,,0,0.000,0.198,10.5281/zenodo.17862065,https://openalex.org/W7111273844,https://doi.org/10.5281/zenodo.17862065,openalex,,"FusionNet is a parallel, hybrid deep-learning framework engineered for next-generation speech recognition and on-device speech-to-text processing. The system is implemented as an Android application (Java/XML) and integrated with Firebase Realtime Database to support secure, user-centric data manage" | |
| 253,,SergeakaAimate/Ontology-Lab: Universality as Challenge: Overcoming Intellectual Skepticism,Serge Magomet aka Aimate,2025,Zenodo (CERN European Organization for Nuclear Research),,,,,0,0.000,0.198,10.5281/zenodo.18100345,https://openalex.org/W7117724800,https://doi.org/10.5281/zenodo.18100345,openalex,,"This release publishes ""Universality as Challenge: Overcoming Intellectual Skepticism""—a methodological defense of the MPO-System (Metaphysical Property Ontology) against the charge of totalising ambition. Core document: Universality-as-Challenge.pdf DOI (Zenodo): 10.5281/zenodo.18090344 The essay c" | |
| 254,,WDANet: Exploring Stylized Animation via Diffusion Model for Woodcut-Style Design,Yangchunxue Ou; Jingjun Xu,2025,Comput. Animat. Virtual Worlds,,,,,0,0.000,0.197,10.1002/CAV.70007,https://dblp.org/rec/journals/jvca/OuX25,,dblp,, | |
| 255,,Sequential Bayesian parameter-state estimation in dynamical systems with noisy and incomplete observations via a variational framework,Liliang Wang; Alex Gorodetsky,2025,arXiv,,,,,0,0.000,0.197,,http://arxiv.org/abs/2512.25056v1,https://arxiv.org/pdf/2512.25056v1,arxiv,,"Online joint estimation of unknown parameters and states in a dynamical system with uncertainty quantification is crucial in many applications. For example, digital twins dynamically update their knowledge of model parameters and states to support prediction and decision-making. Reliability and comp" | |
| 256,,The Prime Emergence Field and Isotopic Harmonics: Re-evaluating Chemical Anomalies as Phase Boundary Markers within the Nexus Framework,Dean Kulik,2025,Zenodo (CERN European Organization for Nuclear Research),,,,,0,0.000,0.197,10.5281/zenodo.18065633,https://openalex.org/W7117421233,https://doi.org/10.5281/zenodo.18065633,openalex,,The Prime Emergence Field and Isotopic Harmonics: Re-evaluating Chemical Anomalies as Phase Boundary Markers within the Nexus Framework 1. Introduction: The Ontological Shift from Particulate Matter to Field Computation The history of material science has been dominated by the particulate model of t | |
| 257,,Development and Application of BeiDou Satellite Navigation Simulator in Maritime Engineering Education,Xiaoyu Feng; Xiao Yang; Hongxiang Ren; Shihao Li,2025,Computer Applications in Engineering Education,,,,,0,0.000,0.196,10.1002/cae.70131,https://openalex.org/W7117479126,,openalex,,"ABSTRACT Under the current maritime education model, cadets generally lack a systematic understanding of navigation knowledge and practical experience in operating onboard equipment and instruments. To comply with the requirements of International Convention on Standards of Training, Certification, " | |
| 258,,Active Intelligence in Video Avatars via Closed-loop World Modeling,Xuanhua He; Tianyu Yang; Ke Cao; Ruiqi Wu; Cheng Meng,2025,arXiv (Cornell University),,,,,0,0.000,0.196,10.48550/arxiv.2512.20615,https://openalex.org/W7117245553,https://doi.org/10.48550/arxiv.2512.20615,openalex,,"Current video avatar generation methods excel at identity preservation and motion alignment but lack genuine agency, they cannot autonomously pursue long-term goals through adaptive environmental interaction. We address this by introducing L-IVA (Long-horizon Interactive Visual Avatar), a task and b" | |
| 259,,"Hybrid Defense and Global Goodwill (HDGG): Version 2 — Final Ultimate Edition A Treaty-Ready, Human-Centric Legal, Strategic, and Technological Framework for Global Security Governance",Bidyut Mazumdar,2025,Zenodo (CERN European Organization for Nuclear Research),,,,,0,0.000,0.196,10.5281/zenodo.18010306,https://openalex.org/W7117253190,https://doi.org/10.5281/zenodo.18010306,openalex,,"🧾 OFFICIAL ZENODO DESCRIPTION Final Ultimate International Edition (World-Class • Treaty-Grade • Policy & Scholarly Gold Standard) Hybrid Defense and Global Goodwill (HDGG): Version 2 — Final Ultimate Edition A Next-Generation Legal, Strategic, and Technological Framework for Human-Centric Global Se" | |
| 260,,The Taqrib Diagnostic–Decision Model (TDDM): A KPI-Governed Architecture for Islamic Intra-Faith Rapprochement,SeyyedAbdolHojjat MoghadasNian; Mostafa JafarTayari Dehaqani; Mahdi Farmanian; SeyedMehdi AlizadehMousavi; SeyedMohammadMahdi HosseinPoor,2025,Zenodo (CERN European Organization for Nuclear Research),,,,,0,0.000,0.195,10.5281/zenodo.18084746,https://openalex.org/W7117577100,https://doi.org/10.5281/zenodo.18084746,openalex,,"This article develops the Taqrib Diagnostic–Decision Model (TDDM) as a formal, multi-dimensional framework for governing Islamic intra-faith rapprochement (taqrib) in a systematic, KPI-governed manner. Building on historical initiatives such as Dār al-Taqrīb and the Amman Message, and on contemporar" | |
| 261,,Steering Narrative Agents Through a Dynamic Cognitive Framework for Guided Emergent Storytelling,Chen Yang; Markus Gross; R. Wampfler,2025,Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment,,,,,0,0.000,0.195,10.1609/aiide.v21i1.36841,https://www.semanticscholar.org/paper/15d0cc3cd92b22fb2dc440d68483c7d2359a1cbd,,semantic_scholar,,"Narrative generation frameworks often face a trade-off between character believability and storyline adherence. Planner-based approaches ensure adherence to authorial designs at the cost of character agency and believability. In contrast, emergent narratives excel at presenting believable characters" | |
| 262,,Using Natural Language for Human-Robot Collaboration in the Real World,Peter Lindes; K. Skiker,2025,arXiv.org,,,,,0,0.000,0.195,10.48550/arXiv.2508.11759,https://www.semanticscholar.org/paper/87b95eab1d2713bd2e925c0197c4cbf1cc2ceb44,,semantic_scholar,,We have a vision of a day when autonomous robots can collaborate with humans as assistants in performing complex tasks in the physical world. This vision includes that the robots will have the ability to communicate with their human collaborators using language that is natural to the humans. Traditi | |
| 263,,Thrifty World Models for Applying Machine Learning in the Design of Complex Biosocial-Technical Systems,Stephen Fox; Vítor Fortes Rey,2025,Mach. Learn. Knowl. Extr.,,,,,0,0.000,0.194,10.3390/MAKE7030083,https://dblp.org/rec/journals/make/FoxR25a,,dblp,, | |
| 264,,The application of AI-generated content in Macao’s study tour context based on grounded theory,Sio Hong Teng; FatFai Ieong,2025,Salud Ciencia y Tecnología,,,,,0,0.000,0.193,10.56294/saludcyt20252725,https://openalex.org/W4417475873,https://sct.ageditor.ar/index.php/sct/article/download/2725/3101,openalex,,"Introduction: as a World Heritage City and a demonstration zone of “One Country, Two Systems,” Macao is an important study tour center in the Guangdong-Hong Kong-Macao Greater Bay Area. Artificial Intelligence Generated Content (AIGC) has shown great potential in meeting Macao’s diverse cultural edu" | |
| 265,,EchoTrail-GUI: Building Actionable Memory for GUI Agents via Critic-Guided Self-Exploration,Runze Li; Yuwen Zhai; Bo Xu; Liwu Xu; Nian Shi,2025,arXiv (Cornell University),,,,,0,0.000,0.193,10.48550/arxiv.2512.19396,https://openalex.org/W7117112580,https://doi.org/10.48550/arxiv.2512.19396,openalex,,"Contemporary GUI agents, while increasingly capable due to advances in Large Vision-Language Models (VLMs), often operate with a critical limitation: they treat each task in isolation, lacking a mechanism to systematically learn from past successes. This digital ''amnesia'' results in sub-optimal pe" | |
| 266,,Scaling Reinforcement Learning for Content Moderation with Large Language Models,Hamed Firooz; Rui Liu; Yuchen Lu; Zhenyu Hou; Fangzhou Xiong,2025,arXiv (Cornell University),,,,,0,0.000,0.192,10.48550/arxiv.2512.20061,https://openalex.org/W7117234111,https://doi.org/10.48550/arxiv.2512.20061,openalex,,"Content moderation at scale remains one of the most pressing challenges in today's digital ecosystem, where billions of user- and AI-generated artifacts must be continuously evaluated for policy violations. Although recent advances in large language models (LLMs) have demonstrated strong potential f" | |
| 267,,RealBench: Benchmarking Verilog Generation Models with Real-World IP Designs,Pengwei Jin; Di Huang; Chongxiao Li; Shuyao Cheng; Yang Zhao 0013,2025,CoRR,,,,,0,0.000,0.192,10.48550/ARXIV.2507.16200,https://dblp.org/rec/journals/corr/abs-2507-16200,,dblp,, | |
| 268,,Large Neutrino-Dark Matter Interactions: From Effective Field Theory to Ultraviolet Completions,K. S. Babu; P. S. Bhupal Dev; Anil Thapa,2025,arXiv,,,,,0,0.000,0.191,,http://arxiv.org/abs/2512.25035v1,https://arxiv.org/pdf/2512.25035v1,arxiv,,"We develop a general effective field theory (EFT) framework for neutrino-dark matter (DM) interactions, and apply it to systematically find all possible gauge-invariant ultraviolet (UV) completions at a given EFT operator dimension. Our goal here is to find simple UV-complete models that can realize" | |
| 269,,Nex-N1: Agentic Models Trained via a Unified Ecosystem for Large-Scale Environment Construction,A Team; Yuxuan Cai; Qiaoling Chen; Yuyang Ding; Liwen Fan,2025,arXiv (Cornell University),,,,,0,0.000,0.191,10.48550/arxiv.2512.04987,https://openalex.org/W4417087192,https://arxiv.org/pdf/2512.04987,openalex,,"The evolution of Large Language Models (LLMs) from passive responders to autonomous agents necessitates a fundamental shift in learning paradigms -- from static imitation to incentive-driven decision making. However, this transition is significantly impeded by the lack of scalable infrastructure cap" | |
| 270,,Feeling Blue: Constructing a Robust SALT3 UV Template and Constraining its Redshift Dependency,Qinan Wang; David O. Jones; Justin D. R. Pierel; Matthew R. Siebert; W. D'Arcy Kenworthy,2025,arXiv,,,,,0,0.000,0.191,,http://arxiv.org/abs/2512.25064v1,https://arxiv.org/pdf/2512.25064v1,arxiv,,"Upcoming cosmological surveys will obtain numerous rest-frame ultraviolet (UV) observations of Type Ia supernovae (SNe Ia), yet there is concern about how standardizable SNe Ia are in the UV. In this work, we train a robust optical--UV SED model for SNe Ia (SALT3-UV) with the open-source model-train" | |
| 271,,Edit3r: Instant 3D Scene Editing from Sparse Unposed Images,Jiageng Liu; Weijie Lyu; Xueting Li; Yejie Guo; Ming-Hsuan Yang,2025,arXiv,,,,,0,0.000,0.190,,http://arxiv.org/abs/2512.25071v1,https://arxiv.org/pdf/2512.25071v1,arxiv,,"We present Edit3r, a feed-forward framework that reconstructs and edits 3D scenes in a single pass from unposed, view-inconsistent, instruction-edited images. Unlike prior methods requiring per-scene optimization, Edit3r directly predicts instruction-aligned 3D edits, enabling fast and photorealisti" | |
| 272,,A Robust Gaussian Process Paradigm for Predictive Modeling on Small Data sets in Environmental Science: A Case Study in Ballasted Flocculation,Zhen Ma; Cheng Gen Ye; Chun Lu; Qing Wei; Ruilin Zhu,2025,Environmental Science & Technology,,,,,0,0.000,0.190,10.1021/acs.est.5c12617,https://openalex.org/W7117293982,,openalex,,"Environmental processes including ballasted flocculation (BF) present significant optimization challenges due to complex multicomponent interactions and small, heterogeneous experimental data sets that frequently lead to overfitted machine learning (ML) models with poor real-world performance. To ad" | |
| 273,,NL2CA: Auto-formalizing Cognitive Decision-Making from Natural Language Using an Unsupervised CriticNL2LTL Framework,Zihao Deng; Yijia Li; Renrui Zhang; Peijun Ye,2025,arXiv (Cornell University),,,,,0,0.000,0.190,10.48550/arxiv.2512.18189,https://openalex.org/W7117123264,https://doi.org/10.48550/arxiv.2512.18189,openalex,,"Cognitive computing models offer a formal and interpretable way to characterize human's deliberation and decision-making, yet their development remains labor-intensive. In this paper, we propose NL2CA, a novel method for auto-formalizing cognitive decision-making rules from natural language descript" | |
| 274,,"High Awareness, Low Trust: Medical Residents’ Readiness to Use ChatGPT in Clinical Practice in an LMIC Context",Saeed Zahmatkesh; Elaheh Hooshmand; Marziyhe Meraji,2025,,,,,,0,0.000,0.190,10.21203/rs.3.rs-8394385/v1,https://openalex.org/W7117732844,https://www.researchsquare.com/article/rs-8394385/latest.pdf,openalex,,"<title>Abstract</title> Background: Large language models such as ChatGPT are rapidly entering medical education and clinical practice, yet evidence on clinicians’ readiness to adopt these tools in low- and middle-income countries remains limited. This study aimed to assess medical residents’ awaren" | |
| 275,,Changing Dimensions of Teacher-Student Relationships in Contemporary India - A Sociological Perspective,Chidananda C,2025,International Journal For Multidisciplinary Research,,,,,0,0.000,0.190,10.36948/ijfmr.2025.v07i06.64441,https://openalex.org/W7117479110,https://www.ijfmr.com/papers/2025/6/64441.pdf,openalex,,"The relationship between teacher and student has long held a sacred and pivotal position within Indian society. In ancient times, the teacher-student relationship established a supportive learning environment where students felt comfortable seeking help, clarifying doubts, and expressing themselves." | |
| 276,,Model and Design of a Fully-Integrated Bioregenerative Life Support System (FI-BLSS) Using Scalable Interactive Model of an Off-World Community (SIMOC),Sean Gellenbeck,2023,,,,,,0,0.000,0.189,,https://dblp.org/rec/phd/basesearch/Gellenbeck23,,dblp,, | |
| 277,,Emotion-Enhanced Dual-Agent Recommendation: Understanding and Leveraging Cognitive Conflicts for Better Personalization,Yulin Yang; Z. P. Wang; Linjing Li; Daniel Zeng,2025,Applied Sciences,,,,,0,0.000,0.189,10.3390/app16010253,https://openalex.org/W7117310988,https://doi.org/10.3390/app16010253,openalex,,"Traditional recommendation systems are largely built upon the “rational-agent” assumption, representing user preferences as static numerical vectors while neglecting the pivotal role of emotions in decision-making. However, according to the dual-system theory in cognitive psychology, human decisions" | |
| 278,,Service-Learning in Sustainable Business Course Spurs Interactive and Transformative Learning,Mardhiah Kamaruddin; Hazriah Hasan; Nik Noorhazila Nik Mud,2025,Preprints.org,,,,,0,0.000,0.189,10.20944/preprints202512.2691.v1,https://openalex.org/W7117694432,https://www.preprints.org/frontend/manuscript/5f4fb3c56f9263154e031dafcaebc0c6/download_pub,openalex,,"This study presents reflections from the Introduction to Sustainable Business course. Thirty-five students from various courses of the Faculty of Entrepreneurship and Business, Universiti Malaysia Kelantan, participated in this course for this semester. The course applied a service-learning pedagogi" | |
| 279,,Scaling Open-Ended Reasoning to Predict the Future,Nikhil Chandak; Shashwat Goel; Ameya Prabhu; Moritz Hardt; Jonas Geiping,2025,arXiv,,,,,0,0.000,0.188,,http://arxiv.org/abs/2512.25070v1,https://arxiv.org/pdf/2512.25070v1,arxiv,,"High-stakes decision making involves reasoning under uncertainty about the future. In this work, we train language models to make predictions on open-ended forecasting questions. To scale up training data, we synthesize novel forecasting questions from global events reported in daily news, using a f" | |
| 280,,CHEF-VL: Detecting Cognitive Sequencing Errors in Cooking with Vision-language Models,Ruiqi Wang; Peiqi Gao; Patrick Lynch; Tingjun Liu; Yejin Lee,2025,Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies,,,,,0,0.000,0.188,10.1145/3770714,https://www.semanticscholar.org/paper/20f07af0e110752e71b43b08da02593fc636f677,,semantic_scholar,,"Minimally obtrusive support for individuals with subjective cognitive decline (SCD) is important for fostering independence in completing daily tasks. In overseeing these tasks, occupational therapists may choose to help as errors arise and provide corrective courses of action. To accomplish this, t" | |
| 281,,SpaceTimePilot: Generative Rendering of Dynamic Scenes Across Space and Time,Zhening Huang; Hyeonho Jeong; Xuelin Chen; Yulia Gryaditskaya; Tuanfeng Y. Wang,2025,arXiv,,,,,0,0.000,0.188,,http://arxiv.org/abs/2512.25075v1,https://arxiv.org/pdf/2512.25075v1,arxiv,,"We present SpaceTimePilot, a video diffusion model that disentangles space and time for controllable generative rendering. Given a monocular video, SpaceTimePilot can independently alter the camera viewpoint and the motion sequence within the generative process, re-rendering the scene for continuous" | |
| 282,,Concepts and Transculture as Parameters for the Theoretical Analysis of Literary Texts,U.М. Tazhibayeva. Uassima Tazhibayeva; Igor V. Krupko. Krupko Igor; S.V. Ananyeva. Ananyeva Svetlana; A.S. Demchenko. Demchenko Alyona,2025,Journal of Cultural Analysis and Social Change,,,,,0,0.000,0.187,10.64753/jcasc.v10i4.3624,https://openalex.org/W7117240700,https://jcasc.com/index.php/jcasc/article/download/3624/1384,openalex,,"The accelerating dynamics of globalization, migration, and digital interaction have reshaped the cultural environments in which literature is produced and consumed. As a result, literary studies increasingly require analytical frameworks that move beyond traditional monocultural or nation-based inte" | |
| 283,,A dual‐interactive fusion network for low‐dose CT image denoising,Jingyi Wang; Weitao Wang; Yang Liu; Xiao Dong; Chen Lin,2025,Medical Physics,,,,,0,0.000,0.187,10.1002/mp.70253,https://openalex.org/W7117457534,,openalex,,"Abstract Background Low‐dose computed tomography (LDCT) has been widely adopted in clinical imaging to reduce radiation exposure. However, the inherent quantum noise and streaking artifacts in LDCT markedly degrade image quality, thereby compromising diagnostic accuracy. Purpose While conventional m" | |
| 284,,Coordinated Humanoid Manipulation with Choice Policies,Haozhi Qi; Yen-Jen Wang; Toru Lin; Brent Yi; Yi Ma,2025,arXiv,,,,,0,0.000,0.187,,http://arxiv.org/abs/2512.25072v1,https://arxiv.org/pdf/2512.25072v1,arxiv,,"Humanoid robots hold great promise for operating in human-centric environments, yet achieving robust whole-body coordination across the head, hands, and legs remains a major challenge. We present a system that combines a modular teleoperation interface with a scalable learning framework to address t" | |
| 285,,"""Adaptive Authorization through Transformer-Based Learning""",Pratik Sinha; Dennis Arimi; Navneet Popli; Mohammad Mamun,2025,IEEE DataPort,,,,,0,0.000,0.187,10.21227/sjnq-zp13,https://openalex.org/W7108319192,https://doi.org/10.21227/sjnq-zp13,openalex,,"""Access control governs how entities interact with protected resources and remains a central pillar of modern cybersecurity. Classical authorization frameworks such as DAC, MAC, RBAC, and ABAC provide structured and interpretable policy foundations but depend heavily on manual policy and attribute e" | |
| 286,,Bayesian Elastic Net Regression with Structured Prior Dependence,Christopher M. Hans; Ningyi Liu,2025,arXiv,,,,,0,0.000,0.187,,http://arxiv.org/abs/2512.25045v1,https://arxiv.org/pdf/2512.25045v1,arxiv,,"Many regularization priors for Bayesian regression assume the regression coefficients are a priori independent. In particular this is the case for standard Bayesian treatments of the lasso and the elastic net. While independence may be reasonable in some data-analytic settings, incorporating depende" | |
| 287,,Multimodal Vision Language Models in Interactive and Physical Environments,Lucas Rafael Guimarães Pereira; Martina Kovács; Ahmed El-Masry; Feidlimid Shyama,2025,Preprints.org,,,,,0,0.000,0.186,10.20944/preprints202512.2407.v1,https://openalex.org/W7117463132,https://www.preprints.org/frontend/manuscript/0df25ffc752bd01cc34ec6287933dc08/download_pub,openalex,,"Multimodal Large Vision--Language Models (LVLMs) have emerged as a central paradigm in contemporary artificial intelligence, enabling machines to jointly perceive, reason, and communicate across visual and linguistic modalities at unprecedented scale. By integrating advances in large language models" | |
| 288,,Compound Estimation for Binomials,Yan Chen; Lihua Lei,2025,arXiv,,,,,0,0.000,0.186,,http://arxiv.org/abs/2512.25042v1,https://arxiv.org/pdf/2512.25042v1,arxiv,,"Many applications involve estimating the mean of multiple binomial outcomes as a common problem -- assessing intergenerational mobility of census tracts, estimating prevalence of infectious diseases across countries, and measuring click-through rates for different demographic groups. The most standa" | |
| 289,,ESearch-R1: Learning Cost-Aware MLLM Agents for Interactive Embodied Search via Reinforcement Learning,Weijie Zhou; Xuangtang Xiong; Ye Tian; Lijun Yue; Xinyu Wu,2025,arXiv (Cornell University),,,,,0,0.000,0.186,10.48550/arxiv.2512.18571,https://openalex.org/W7117158728,https://doi.org/10.48550/arxiv.2512.18571,openalex,,"Multimodal Large Language Models (MLLMs) have empowered embodied agents with remarkable capabilities in planning and reasoning. However, when facing ambiguous natural language instructions (e.g., ""fetch the tool"" in a cluttered room), current agents often fail to balance the high cost of physical ex" | |
| 290,,The impact of interactive communication on user’s information reception: Evidence from short video platforms,Gabbassova Amina,2025,International Journal of Applied Research in Social Sciences,,,,,0,0.000,0.186,10.51594/ijarss.v7i12.2145,https://openalex.org/W4417417318,https://fepbl.com/index.php/ijarss/article/download/2145/2429,openalex,,"The rise of TikTok and Douyin has completely remade the digital world from a broadcast medium to a participatory ecosystem. What was previously about passive consumption by users has turned into active co-creation: content creation, interactive commentary, and fast dissemination of engaging visual m" | |
| 291,,From Inpainting to Editing: A Self-Bootstrapping Framework for Context-Rich Visual Dubbing,Xu He; Haoxian Zhang; Hejia Chen; Changyuan Zheng; Liyang Chen,2025,arXiv,,,,,0,0.000,0.186,,http://arxiv.org/abs/2512.25066v1,https://arxiv.org/pdf/2512.25066v1,arxiv,,"Audio-driven visual dubbing aims to synchronize a video's lip movements with new speech, but is fundamentally challenged by the lack of ideal training data: paired videos where only a subject's lip movements differ while all other visual conditions are identical. Existing methods circumvent this wit" | |
| 292,,"Asymptotic Framing, and as a Platform for Foundational Work on Building Models with Use Cases such as an Ambiguity Tensor",Travis Raymond-Charlie Stone,2025,Zenodo (CERN European Organization for Nuclear Research),,,,,0,0.000,0.186,10.5281/zenodo.18097782,https://openalex.org/W7117762131,https://doi.org/10.5281/zenodo.18097782,openalex,,Predictive algorithmic analysis platform for objects in space. Architect:Travis Raymond-Charlie Stone Assisted By: AI Continued study of asymptotic structures and structures behavior. In an asymptomatic structure that has a power tower of exponents to explain the asymptotic structure of a very large | |
| 293,,Augmented Reality-Based Smart Digital Interactive Media to Enhance High School Students Socio-Scientific Reasoning in Chemistry,Kartyka Nababan; Dina Mariana Siregar; Victor Tarigan; Leony Sanga Lamsari Purba; Renta Renta,2025,JURNAL PIJAR MIPA,,,,,0,0.000,0.185,10.29303/jpm.v20i8.10685,https://openalex.org/W7117881124,https://doi.org/10.29303/jpm.v20i8.10685,openalex,,The persistent difficulty in connecting abstract chemistry concepts with real-world socio-scientific issues highlights the need for well-designed digital learning innovations. This study aimed to develop and evaluate an Augmented Reality–based Smart Digital Interactive Learning Media (Smart-DIL) to | |
| 294,,Development of RBL-STEM learning tools to enhance students’ metaliteracy in identifying facial skin types using graceful color segmentation and Deep-CNN techniques,Muhammad Safak; Dafik Dafik; Arika Indah Kristiana; Slamin Slamin; Susanto Susanto,2025,World Journal of Advanced Research and Reviews,,,,,0,0.000,0.185,10.30574/wjarr.2025.28.3.4294,https://openalex.org/W7117889256,https://doi.org/10.30574/wjarr.2025.28.3.4294,openalex,,"At present, possessing literacy skills alone is insufficient to address the challenges of the globalized world. The ability to reflect on one’s cognitive processes when interacting with diverse sources of information is also required; therefore, a new concept known as metaliteracy has emerged. One m" | |
| 295,,METHODOLOGY AND METHODOLOGY OF TEACHING COMPREHENSIVE ARCHITECTURALDESIGN TO ARCHITECT STUDENTS,,2025,Municipal economy of cities,,,,,0,0.000,0.185,10.33042/3083-6727-2025-6-194-175-192,https://openalex.org/W7116953590,https://doi.org/10.33042/3083-6727-2025-6-194-175-192,openalex,,"The article presents an in-depth analysis of the methodology and didactics of teaching Comprehensive Architectural Design (CAD) as an integrative educational framework aimed at developing systemic, interdisciplinary, and research-oriented thinking in future Master’s students of architecture. In the " | |
| 296,,Human Factor in Cybersecurity: Cyber Education as a Systemic Response to Growing Threats in the Digital Space of Ukraine and the EU,Pavlo Burdiak,2025,Mediaforum Analytics Forecasts Information Management,,,,,0,0.000,0.184,10.31861/mediaforum.2025.17.328-346,https://openalex.org/W4417534338,https://doi.org/10.31861/mediaforum.2025.17.328-346,openalex,,"This article addresses a critical vulnerability in contemporary cybersecurity defenses: the persistent dominance of human factors as the primary vector in successful cyberattacks across Ukraine, the European Union, and globally, despite substantial investments in technical security infrastructure. E" | |
| 297,,FineTec: Fine-Grained Action Recognition Under Temporal Corruption via Skeleton Decomposition and Sequence Completion,Dian Shao; Mingfei Shi; Like Liu,2025,arXiv,,,,,0,0.000,0.184,,http://arxiv.org/abs/2512.25067v1,https://arxiv.org/pdf/2512.25067v1,arxiv,,"Recognizing fine-grained actions from temporally corrupted skeleton sequences remains a significant challenge, particularly in real-world scenarios where online pose estimation often yields substantial missing data. Existing methods often struggle to accurately recover temporal dynamics and fine-gra" | |
| 298,,Perturbative Kondo destruction and global phase diagram of heavy fermion metals,Yiming Wang; Shouvik Sur; Chia-Chuan Liu; Qimiao Si,2025,arXiv,,,,,0,0.000,0.184,,http://arxiv.org/abs/2512.25036v1,https://arxiv.org/pdf/2512.25036v1,arxiv,,"Strange metals represent a foundational problem in quantum condensed matter physics, and heavy fermion systems provide a canonical setting to advance a general understanding. The concept of a Kondo destruction quantum critical point is widely invoked to describe the competition of the Kondo effect a" | |
| 299,,The PDE-ODI principle and cylindrical mean curvature flows,Richard H. Bamler; Yi Lai,2025,arXiv,,,,,0,0.000,0.184,,http://arxiv.org/abs/2512.25050v1,https://arxiv.org/pdf/2512.25050v1,arxiv,,"We introduce a new approach for analyzing ancient solutions and singularities of mean curvature flow that are locally modeled on a cylinder. Its key ingredient is a general mechanism, called the \emph{PDE--ODI principle}, which converts a broad class of parabolic differential equations into systems " | |
| 300,,Application and Analysis of Large Language Models in Game NPCs,Ziqi Wang,2025,Highlights in Science Engineering and Technology,,,,,0,0.000,0.184,10.54097/q5k9a015,https://openalex.org/W7116843440,https://drphset.com/index.php/ojs/article/download/14/12,openalex,,"In recent years, the breakthroughs of large language models (LLMs) in capabilities such as natural language understanding and multi-turn dialogue generation have not only promoted the technical implementation in fields like natural language processing (NLP) and computer vision (CV), but also provide" | |
| 301,,Emotion Diffusion in Real and Simulated Social Graphs: Structural Limits of LLM-Based Social Simulation,Qiqi Qiang,2025,arXiv (Cornell University),,,,,0,0.000,0.184,10.48550/arxiv.2512.21138,https://openalex.org/W7117292714,https://doi.org/10.48550/arxiv.2512.21138,openalex,,"Understanding how emotions diffuse through social networks is central to computational social science. Recently, large language models (LLMs) have been increasingly used to simulate social media interactions, raising the question of whether LLM-generated data can realistically reproduce emotion diff" | |
| 302,,No-cost Bell Nonlocality Certification from Quantum Tomography and Its Applications in Quantum Magic Witnessing,Pawel Cieslinski; Lukas Knips; Harald Weinfurter; Wieslaw Laskowski,2025,arXiv,,,,,0,0.000,0.184,,http://arxiv.org/abs/2512.25068v1,https://arxiv.org/pdf/2512.25068v1,arxiv,,"Tomographic measurements are the standard tool for characterizing quantum states, yet they are usually regarded only as means for state reconstruction or fidelity measurement. Here, we show that the same Pauli-basis measurements (X, Y, Z) can be directly employed for the certification of nonlocality" | |
| 303,,Social Reward Sensitivity and Moral Disinhibition: An Integrated Neurocognitive Model of Adolescent Risk-Taking Online and Offline,Peicong Li,2025,Lecture Notes in Education Psychology and Public Media,,,,,0,0.000,0.183,10.54254/2753-7048/2026.ht31008,https://openalex.org/W7117752588,https://lnep.ewapub.com/article/view/31008.pdf,openalex,,"As peer pressure and online technologies make a change in the way adolescents value the benefits and the costs of risky behavior, risk-taking among adolescents has come to be an increasingly relevant interdisciplinary issue. Previous studies indicate that teens are more sensitive to detecting social" | |
| 304,,AdaGReS:Adaptive Greedy Context Selection via Redundancy-Aware Scoring for Token-Budgeted RAG,Chao Peng; Bin Wang; Zhilei Long; Jinfang Sheng,2025,arXiv,,,,,0,0.000,0.183,,http://arxiv.org/abs/2512.25052v1,https://arxiv.org/pdf/2512.25052v1,arxiv,,"Retrieval-augmented generation (RAG) is highly sensitive to the quality of selected context, yet standard top-k retrieval often returns redundant or near-duplicate chunks that waste token budget and degrade downstream generation. We present AdaGReS, a redundancy-aware context selection framework for" | |
| 305,,GaMO: Geometry-aware Multi-view Diffusion Outpainting for Sparse-View 3D Reconstruction,Yi-Chuan Huang; Hao-Jen Chien; Chin-Yang Lin; Ying-Huan Chen; Yu-Lun Liu,2025,arXiv,,,,,0,0.000,0.183,,http://arxiv.org/abs/2512.25073v1,https://arxiv.org/pdf/2512.25073v1,arxiv,,"Recent advances in 3D reconstruction have achieved remarkable progress in high-quality scene capture from dense multi-view imagery, yet struggle when input views are limited. Various approaches, including regularization techniques, semantic priors, and geometric constraints, have been implemented to" | |
| 306,,Classification of Interacting Topological Crystalline Superconductors in Three Dimensions and Beyond,Shang-Qiang Ning; Xing-Yu Ren; Qing-Rui Wang; Yang Qi; Zheng-Cheng Gu,2025,arXiv,,,,,0,0.000,0.182,,http://arxiv.org/abs/2512.25069v1,https://arxiv.org/pdf/2512.25069v1,arxiv,,"Although classification for free-fermion topological superconductors (TSC) is established, systematically understanding the classification of 3D interacting TSCs remains difficult, especially those protected by crystalline symmetries like the 230 space groups. We build up a general framework for sys" | |
| 307,,Anomalous (3+1)d Fermionic Topological Quantum Field Theories via Symmetry Extension,Zheyan Wan; Juven Wang,2025,arXiv,,,,,0,0.000,0.182,,http://arxiv.org/abs/2512.25038v1,https://arxiv.org/pdf/2512.25038v1,arxiv,,"Discrete finite-group global symmetries may suffer from nonperturbative 't-Hooft anomalies. Such global anomalies can be canceled by anomalous symmetry-preserving topological quantum field theories (TQFTs), which contain no local point operators but only extended excitations such as line and surface" | |
| 308,,"Cognitive Science Perspectives on Phonetic Processing, Syntactic Parsing, and Semantic Integration",Eddy Fai Wai Boon,2025,Language Perspectives,,,,,0,0.000,0.182,10.64229/p1qw4v42,https://openalex.org/W7117537413,https://lp.cultechpub.com/index.php/lp/article/download/9/6,openalex,,"This article synthesizes cognitive science research on the core components of real-time language comprehension: phonetic processing, syntactic parsing, and semantic integration. Moving beyond modular, sequential models, we argue for a dynamic, interactive perspective where these processes operate in" | |
| 309,,Putting Theory into Practice by Developing a Novel Digital Health Technology-Derived Endpoint in Sleep Quality,Frank Kramer; Joachim K. Krauss; Jaya Pal; John H. Batchelor; Parla Yuksel,2025,Digital Biomarkers,,,,,0,0.000,0.182,10.1159/000549984,https://openalex.org/W4417467324,https://doi.org/10.1159/000549984,openalex,,"Introduction: Sleep disturbances associated with menopause (SDM) are common and bothersome, but there are currently no specifically licensed treatments, and studies thus far have used different methodologies to measure sleep quality. Among those, digital health technologies (DHTs) present an innovat" | |
| 310,,Do We View Robots as We Do Ourselves? Examining Robotic Face Processing Using EEG,Xaviera Pérez-Arenas; Álvaro Rivera‐Rei; David A. Huepe; Vicente Soto,2025,Brain Sciences,,,,,0,0.000,0.182,10.3390/brainsci16010009,https://openalex.org/W7117336696,https://doi.org/10.3390/brainsci16010009,openalex,,"Background/Objectives: The ability to perceive and process emotional faces quickly and efficiently is essential for human social interactions. In recent years, humans have started to interact more regularly with robotic faces in the form of virtual or real-world robots. Neurophysiological research r" | |
| 311,,Latar Belakang Pendidikan Dan Motivasi Kerja Terhadap Kinerja Karyawan Pada PT Hasnur Jaya Utama,"Rizky; Universitas Indraprasta PGRI | |
| Hasnur Group Pebrian; Sumaryoto; Universitas Indraprasta PGRI. Sumaryoto; Julinda; Universitas Indraprasta PGRI Siregar",2025,VNU Journal of Science: Natural Sciences and Technology (Vietnam National University),,,,,0,0.000,0.182,10.30998/herodotus.v8i3.16996,https://openalex.org/W7117868231,http://iiste.org/Journals/index.php/JIEA/article/view/16996,openalex,,Tujuan penelitian ini adalah untuk mengetahui: 1) Pengaruh latar belakang pendidikan terhadap kinerja karyawan. 2) Pengaruh motivasi kerja terhadap kinerja karyawan. 3) Pengaruh latar belakang pendidikan dan motivasi kerja secara simultan terhadap kinerja karyawan. Penelitian ini dilakukan di PT Has | |
| 312,,A novel transformer-based graph generation model for vectorized road design,Peichi Zhou; Chen Li 0035; Jian Zhang 0070; Changbo Wang; Hong Qin 0001,2024,Comput. Animat. Virtual Worlds,,,,,0,0.000,0.181,10.1002/CAV.2267,https://dblp.org/rec/journals/jvca/ZhouLZWQL24,,dblp,, | |
| 313,,"Stoic Resilience, Moral Autonomy, and The Dichotomy of Control Parallel Tawakkul, Sabr, and Ikhtiyar",Michael Yurievich Kuznetsov,2025,el Harakah Jurnal Budaya Islam,,,,,0,0.000,0.180,10.18860/eh.v27i2.36570,https://openalex.org/W7116900383,https://ejournal.uin-malang.ac.id/index.php/infopub/article/download/36570/pdf,openalex,,The need to uncover how Islamic intellectual and spiritual traditions have historically interacted with non-Islamic systems of thought to develop a distinct ethical psychology grounded in revelation. Despite the Qur’an and Islamic scholarship offering profound frameworks for emotional resilience—suc | |
| 314,,THE COLLECTIVEOS CIVILIZATION PAPER (Public-Safe Edition),"Brewer, Mark Anthony",2025,Zenodo (CERN European Organization for Nuclear Research),,,,,0,0.000,0.180,10.5281/zenodo.17843663,https://openalex.org/W7109783814,https://doi.org/10.5281/zenodo.17843663,openalex,,"THE COLLECTIVEOS CIVILIZATION PAPER (Public-Safe Edition) 1. Introduction: The Thermodynamics of Civilization 1.1 The Great Convergence and the End of the Extractive Age Humanity currently stands at a precarious structural threshold, transitioning from a civilization defined by the logic of extracti" | |
| 315,,Randomization Times under Quantum Chaotic Hamiltonian Evolution,Souradeep Ghosh; Nicholas Hunter-Jones; Joaquin F. Rodriguez-Nieva,2025,arXiv,,,,,0,0.000,0.180,,http://arxiv.org/abs/2512.25074v1,https://arxiv.org/pdf/2512.25074v1,arxiv,,"Randomness generation through quantum-chaotic evolution underpins foundational questions in statistical mechanics and applications across quantum information science, including benchmarking, tomography, metrology, and demonstrations of quantum computational advantage. While statistical mechanics suc" | |
| 316,,Vulcan: Instance-Optimal Systems Heuristics Through LLM-Driven Search,Rohit Dwivedula; Divyanshu Saxena; Sujay Yadalam; Daehyeok Kim; Aditya Akella,2025,arXiv,,,,,0,0.000,0.180,,http://arxiv.org/abs/2512.25065v1,https://arxiv.org/pdf/2512.25065v1,arxiv,,"Resource-management tasks in modern operating and distributed systems continue to rely primarily on hand-designed heuristics for tasks such as scheduling, caching, or active queue management. Designing performant heuristics is an expensive, time-consuming process that we are forced to continuously g" | |
| 317,,Reliable and Resilient Collective Communication Library for LLM Training and Serving,Wei Wang; Nengneng Yu; Sixian Xiong; Zaoxing Liu,2025,arXiv,,,,,0,0.000,0.180,,http://arxiv.org/abs/2512.25059v1,https://arxiv.org/pdf/2512.25059v1,arxiv,,"Modern ML training and inference now span tens to tens of thousands of GPUs, where network faults can waste 10--15\% of GPU hours due to slow recovery. Common network errors and link fluctuations trigger timeouts that often terminate entire jobs, forcing expensive checkpoint rollback during training" | |
| 318,,The variety of orthogonal frames,Laura Casabella; Alessio Sammartano,2025,arXiv,,,,,0,0.000,0.180,,http://arxiv.org/abs/2512.25058v1,https://arxiv.org/pdf/2512.25058v1,arxiv,,"An orthogonal n-frame is an ordered set of n pairwise orthogonal vectors. The set of all orthogonal n-frames in a d-dimensional quadratic vector space is an algebraic variety V(d,n). In this paper, we investigate the variety V(d,n) as well as the quadratic ideal I(d,n) generated by the orthogonality" | |
| 319,,Emergence of 3D Superconformal Ising Criticality on the Fuzzy Sphere,Yin Tang; Cristian Voinea; Liangdong Hu; Zlatko Papić; W. Zhu,2025,arXiv,,,,,0,0.000,0.180,,http://arxiv.org/abs/2512.25054v1,https://arxiv.org/pdf/2512.25054v1,arxiv,,"Supersymmetric conformal field theories (SCFTs) form a unique subset of quantum field theories which provide powerful insights into strongly coupled critical phenomena. Here, we present a microscopic and non-perturbative realization of the three-dimensional $\mathcal{N}=1$ superconformal Ising criti" | |
| 320,,Fluid dynamics as intersection problem,Nikita Nekrasov; Paul Wiegmann,2025,arXiv,,,,,0,0.000,0.180,,http://arxiv.org/abs/2512.25053v1,https://arxiv.org/pdf/2512.25053v1,arxiv,,"We formulate the covariant hydrodynamics equations describing the fluid dynamics as the problem of intersection theory on the infinite dimensional symplectic manifold associated with spacetime. This point of view separates the structures related to the equation of state, the geometry of spacetime, a" | |
| 321,,Bilinear tau forms of quantum Painlevé equations and $\mathbb{C}^2/\mathbb{Z}_2$ blowup relations in SUSY gauge theories,Giulio Bonelli; Anton Shchechkin; Alessandro Tanzini,2025,arXiv,,,,,0,0.000,0.180,,http://arxiv.org/abs/2512.25051v1,https://arxiv.org/pdf/2512.25051v1,arxiv,,"We derive bilinear tau forms of the canonically quantized Painlevé equations, thereby relating them to those previously obtained from the $\mathbb{C}^2/\mathbb{Z}_2$ blowup relations for the $\mathcal{N}=2$ supersymmetric gauge theory partition functions on a general $Ω$-background. We fully fix the" | |
| 322,,Extreme nonlinear optics in optical fibers,Mario Ferraro; Bertrand Kibler; Pierre Béjot; Frédéric Gérome; Benoit Debord,2025,arXiv,,,,,0,0.000,0.180,,http://arxiv.org/abs/2512.25046v1,https://arxiv.org/pdf/2512.25046v1,arxiv,,"This paper reviews the field of extreme nonlinear optics in optical fibers, highlighting key phenomena and advancements. It discusses multiple ionization effects caused by femtosecond laser pulses that generate plasma and induce permanent material modifications, as well as plasma luminescence and it" | |
| 323,,Primordial black hole dark matter from ultra-slow-roll inflation in Horndeski gravity,Despina Totolou; Theodoros Papanikolaou; Emmanuel N. Saridakis,2025,arXiv,,,,,0,0.000,0.180,,http://arxiv.org/abs/2512.25044v1,https://arxiv.org/pdf/2512.25044v1,arxiv,,"Primordial black holes (PBHs) provide a well-motivated non-particle candidate for dark matter, requiring an enhancement of curvature perturbations on small inflationary scales consistent with observational constraints. In this work we study PBH production within Horndeski gravity, accounting for com" | |
| 324,,Pengaruh Persepsi Atas Kurikulum Tersembunyi Dan Motivasi Belajar Terhadap Prestasi Belajar Sosiologi,"Ais; 1. Mahasiswa Fakultas Pascasarjana Pendidikan IPS Universitas Indraprasta PGRI | |
| 2. Pengajar di SMAN 1 Carenang Khaerunnisa; Mamik; Universitas Indraprasta PGRI Suendarti; Enny; Universitas Indraprasta PGRI Nurcahyawati",2025,VNU Journal of Science: Natural Sciences and Technology (Vietnam National University),,,,,0,0.000,0.180,10.30998/herodotus.v8i3.19838,https://openalex.org/W7117885044,http://iiste.org/Journals/index.php/RHSS/article/view/19838,openalex,,Tujuan penelitian ini adalah untuk mengetahui pengaruh persepsi siswa terhadap kurikulum tersembunyi dan motivasi belajar terhadap prestasi belajar sosiologi. Metode penelitian yang digunakan adalah survei dengan teknik korelasional yang melibatkan 60 siswa sebagai sampel. Pemilihan sampel yang dite | |
| 325,,Pengaruh Kreativitas dan Kemandirian Terhadap Minat Berwirausaha (Survey Pada Siswa SMK Swasta di Jakarta Timur),Intan; Universitas Indraprasta PGRI Lestari; Chandra S. Haratua; Syahid; Universitas Indraprasta PGRI Syahid,2025,VNU Journal of Science: Natural Sciences and Technology (Vietnam National University),,,,,0,0.000,0.180,10.30998/herodotus.v8i3.28367,https://openalex.org/W7117888275,http://iiste.org/Journals/index.php/IKM/article/view/28367,openalex,,The aim of this research is to find out: 1). The influence of creativity and independence together on the entrepreneurial interest of private vocational school students in East Jakarta. 2). The influence of creativity on the entrepreneurial interest of private vocational school students in East Jaka | |
| 326,,Towards precision cosmology with Voids x CMB correlations (I): Roman-Agora mock catalogs and pipeline validation,Mar Pérez Sar; Carlos Hernández Monteagudo; András Kovács; Alice Pisani,2025,arXiv,,,,,0,0.000,0.180,,http://arxiv.org/abs/2512.25040v1,https://arxiv.org/pdf/2512.25040v1,arxiv,,"We construct and validate a set of multi-purpose mock galaxy catalogs designed to capture, to different degrees of accuracy, the main characteristics of the Nancy Grace Roman Space Telescope survey. These catalogs provide a foundation for void statistics and various CMB cross-correlation analyses. O" | |
| 327,,Ethical challenges and governance of artificial intelligence in hepatocellular carcinoma management,Dalong Wan; Shengzhang Lin,2025,Medical Oncology,,,,,0,0.000,0.180,10.1007/s12032-025-03157-7,https://openalex.org/W7117308191,,openalex,, | |
| 328,,Generative Classifiers Avoid Shortcut Solutions,Alexander C. Li; Ananya Kumar; Deepak Pathak,2025,arXiv,,,,,0,0.000,0.180,,http://arxiv.org/abs/2512.25034v1,https://arxiv.org/pdf/2512.25034v1,arxiv,,"Discriminative approaches to classification often learn shortcuts that hold in-distribution but fail even under minor distribution shift. This failure mode stems from an overreliance on features that are spuriously correlated with the label. We show that generative classifiers, which use class-condi" | |
| 329,,On the geometry and topology of representations: the manifolds of modular addition,Gabriela Moisescu-Pareja; Gavin McCracken; Harley Wiltzer; Vincent Létourneau; Colin Daniels,2025,arXiv,,,,,0,0.000,0.180,,http://arxiv.org/abs/2512.25060v1,https://arxiv.org/pdf/2512.25060v1,arxiv,,"The Clock and Pizza interpretations, associated with architectures differing in either uniform or learnable attention, were introduced to argue that different architectural designs can yield distinct circuits for modular addition. In this work, we show that this is not the case, and that both unifor" | |
| 330,,All optical Lithography for Spatiotemporal Patterning of Azopolymer Microreliefs,I Komang Januariyasa; Francesco Reda; Nikolai Liubimtsev; Marina Saphiannikova; Fabio Borbone,2025,arXiv,,,,,0,0.000,0.180,,http://arxiv.org/abs/2512.25048v1,https://arxiv.org/pdf/2512.25048v1,arxiv,,"Microstructured surfaces are central to photonics, biointerfaces, and functional coatings, yet they are typically fabricated through multi-step lithographic workflows requiring masks or molds and post-processing. Azopolymers provide an alternative route by converting structured optical fields into s" | |
| 331,,Universal polar dual pairs of spherical codes found in $E_8$ and $Λ_{24}$,S. V. Borodachov; P. G. Boyvalenkov; P. D. Dragnev; D. P. Hardin; E. B. Saff,2025,arXiv,,,,,0,0.000,0.180,,http://arxiv.org/abs/2512.25037v1,https://arxiv.org/pdf/2512.25037v1,arxiv,,"We identify universal polar dual pairs of spherical codes $C$ and $D$ such that for a large class of potential functions $h$ the minima of the discrete $h$-potential of $C$ on the sphere occur at the points of $D$ and vice versa. Moreover, the minimal values of their normalized potentials are equal." | |
| 332,,MITEC Model for Talent Management to Small and Medium Enterprises Develop with Design Science Research,Ricardo Perpétuo; Gabriel Pestana 0001,2024,WorldCIST,,,,,0,0.000,0.179,10.1007/978-3-031-60221-4_2,https://dblp.org/rec/conf/worldcist/Perpetuo024,,dblp,, | |
| 333,,A Novel World Knowledge Aware Universal Representations of Design Patterns Based on Pre-trained Language Models,Dongzhen Wen; Dong Liu; Zheng Yao; He Jiang; Hongfei Lin,2024,ICIC,,,,,0,0.000,0.173,10.1007/978-981-97-5672-8_20,https://dblp.org/rec/conf/icic/WenLYJL24,,dblp,, | |
| 334,,On-Board Vision-Language Models for Personalized Autonomous Vehicle Motion Control: System Design and Real-World Validation,Can Cui; Zichong Yang; Yupeng Zhou; Juntong Peng; Sung-Yeon Park,2024,CoRR,,,,,0,0.000,0.171,10.48550/ARXIV.2411.11913,https://dblp.org/rec/journals/corr/abs-2411-11913,,dblp,, | |
| 335,,"Sampling, Communication, and Prediction Co-Design for Synchronizing the Real-World Device and Digital Model in Metaverse",Zhen Meng; Changyang She; Guodong Zhao 0001; Daniele De Martini,2023,IEEE J. Sel. Areas Commun.,,,,,0,0.000,0.171,10.1109/JSAC.2022.3221993,https://dblp.org/rec/journals/jsac/MengSZM23,,dblp,, | |
| 336,5980560,Modular bio-mimetic robots that can interact with the world the way we do,Alex Simpkins; Michael S. Kelley; Emanuel Todorov; Alex Simpkins; Michael S. Kelley,2011,ICRA 2011,main,Poster,,,0,0.531,0.168,,https://ieeexplore.ieee.org/document/5980560/,,offline_icra,,"The study of human sensorimotor control and learning through robotic devices requires systems that possess bio-mimetic characteristics which allow them to interact with the world in a similar fashion dynamically (this includes backdrivability, high bandwidth, implementability of complex control algo" | |
| 337,,The presence of digital criticism in contemporary Arab monetary discourse; between the logic of proof and the question of value,,2024,Journal of Scientific Development for Studies and Research,,,,,0,0.000,0.162,10.61212/jsd/221,https://www.semanticscholar.org/paper/54e1520b9f8533db7559449de4c5711b7050c3c3,https://jsd.sdevelopment4.com/index.php/jsd/article/download/221/226,semantic_scholar,,"The imposition of this virtual space makes sense in bringing creative pathways and spheres of criticism closer to the rest of both literature and critics, expanding opportunities to meet and learn about the new literary version and enabling those working in this field to demonstrate literary citizen" | |
| 338,,Development of a Model of Design Thinking Hybrid Implementation in the Post-pandemic World,Yulia Bolshakova; Victor Taratukhin,2022,FRUCT,,,,,0,0.000,0.161,10.23919/FRUCT54823.2022.9770898,https://dblp.org/rec/conf/fruct/BolshakovaT22,,dblp,, | |
| 339,,Interactive Resolution of Inconsistencies in Declarative Process Models,Sabine Nagel; Patrick Delfmann,2024,Wirtschaftsinformatik,,,,,0,0.000,0.160,,https://www.semanticscholar.org/paper/ebf857558be3c147626327656e056b7343a95b80,,semantic_scholar,, | |
| 340,,An interaction design model for virtual reality mindfulness meditation using imagery-based transformation and positive feedback,Yingying She; Qing Wang; Fang Liu; Lin Lin; Baorong Yang,2023,Comput. Animat. Virtual Worlds,,,,,0,0.000,0.160,10.1002/CAV.2184,https://dblp.org/rec/journals/jvca/SheWLLYH23,,dblp,, | |
| 341,,What is a Fair Diffusion Model? Designing Generative Text-To-Image Models to Incorporate Various Worldviews,Zoe De Simone; Angie W. Boggust; Arvind Satyanarayan; Ashia Wilson,2023,CoRR,,,,,0,0.000,0.158,10.48550/ARXIV.2309.09944,https://dblp.org/rec/journals/corr/abs-2309-09944,,dblp,, | |
| 342,,Daily activity monitoring system designed for elderly people using hidden Markov models based on real world datasets,Chaima Bouali; Olivier Habert; Abderrahim Tahiri,2023,Int. J. Intell. Syst. Technol. Appl.,,,,,0,0.000,0.151,10.1504/IJISTA.2023.130555,https://dblp.org/rec/journals/ijista/BoualiHT23,,dblp,, | |
| 343,1249684,Biologically motivated visual servoing and grasping for real world tasks,D. Kragic; H.I. Christensen; D. Kragic; H.I. Christensen,2003,IROS 2003,main,Poster,,,0,0.493,0.151,,https://ieeexplore.ieee.org/document/1249684/,,offline_iros,,"Hand-eye coordination involves four tasks: i) identification of the object to be manipulated, ii) ballistic arm motion to the vicinity of the object, iii) preshaping and alignment of the hand, and finally iv) manipulation or grasping of the object. Motivated by the operation of biological systems an" | |
| 344,,Designing a Visualization Model to Represent Emotional Changes Through Low-Cost Physiological Sensors with Genre Perspective,Sandra P. Cano; Leandro García; Fernando Moreira,2022,WorldCIST,,,,,0,0.000,0.136,10.1007/978-3-031-04829-6_26,https://dblp.org/rec/conf/worldcist/CanoGM22,,dblp,, | |
| 345,,MoDa: Designing a Tool to Interweave Computational Modeling with Real-world Data Analysis for Science Learning in Middle School,Aditi Wagh; Tamar Fuhrmann; Adelmo Antonio da Silva Eloy; Jacob Wolf; Engin Bumbacher,2022,IDC,,,,,0,0.000,0.133,10.1145/3501712.3529723,https://dblp.org/rec/conf/acmidc/WaghFEWBBW22,,dblp,, | |
| 346,,Interpretation of Structure-Activity Relationships in Real-World Drug Design Data Sets Using Explainable Artificial Intelligence,Tobias Harren; Hans Matter; Gerhard Hessler; Matthias Rarey; Christoph Grebner,2022,J. Chem. Inf. Model.,,,,,0,0.000,0.131,10.1021/ACS.JCIM.1C01263,https://dblp.org/rec/journals/jcisd/HarrenMHRG22,,dblp,, | |
| 347,,"Some futures for cognitive modeling and architectures: design patterns for including better interaction with the world, moderators, and improved model to data fits (and so can you)",Frank E. Ritter; Farnaz Tehranchi; Christopher L. Dancy; Sue E. Kase,2020,Comput. Math. Organ. Theory,,,,,0,0.000,0.113,10.1007/S10588-020-09308-7,https://dblp.org/rec/journals/cmot/RitterTDK20,,dblp,, | |
| 348,,"Technologies, Learning and Cognitive Models",Giorgio Poletti,2021,,,,,,0,0.000,0.104,10.15405/EPSBS.2021.03.02.32,https://www.semanticscholar.org/paper/3f5bafaf770113cb3658ce36a0af3e2c2630605f,https://www.europeanproceedings.com/pdf/article/10.15405/epsbs.2021.03.02.32,semantic_scholar,,"The progressive increase in the use of multimedia and interactive platforms, including the world of social media, of mobile devices, which affects the new generations, must be considered. In particular, the prospect of integrating technologies into learning and teaching processes is not possible. In" | |
| 349,,Marker versus filter: team focused interaction in complex cognitive representation models,S. Schneider; M. Hanrieder; A. Nürnberger,2020,,,,,,0,0.000,0.080,,https://www.semanticscholar.org/paper/bb0482674891996edeca3df933c185cf95f74205,,semantic_scholar,, | |