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Collections including paper arxiv:2504.13837

EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Paper • 2402.04252 • Published Feb 6, 2024 • 29
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6, 2024 • 14
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7, 2024 • 44
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7, 2024 • 23

Less is More: Recursive Reasoning with Tiny Networks

Paper • 2510.04871 • Published Oct 6 • 499
When Thoughts Meet Facts: Reusable Reasoning for Long-Context LMs

Paper • 2510.07499 • Published Oct 8 • 48
Improving Context Fidelity via Native Retrieval-Augmented Reasoning

Paper • 2509.13683 • Published Sep 17 • 8
Multimodal Iterative RAG for Knowledge-Intensive Visual Question Answering

Paper • 2509.00798 • Published Aug 31 • 1

Putting the Value Back in RL: Better Test-Time Scaling by Unifying LLM Reasoners With Verifiers

Paper • 2505.04842 • Published May 7 • 12
ZeroSearch: Incentivize the Search Capability of LLMs without Searching

Paper • 2505.04588 • Published May 7 • 65
WebThinker: Empowering Large Reasoning Models with Deep Research Capability

Paper • 2504.21776 • Published Apr 30 • 59
Agentic Reasoning and Tool Integration for LLMs via Reinforcement Learning

Paper • 2505.01441 • Published Apr 28 • 39

Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems

Paper • 2504.01990 • Published Mar 31 • 301
Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?

Paper • 2504.13837 • Published Apr 18 • 139

Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?

Paper • 2504.13837 • Published Apr 18 • 139
Hierarchical Reasoning Model

Paper • 2506.21734 • Published Jun 26 • 46

Depth Anything V2

Paper • 2406.09414 • Published Jun 13, 2024 • 103
An Image is Worth More Than 16x16 Patches: Exploring Transformers on Individual Pixels

Paper • 2406.09415 • Published Jun 13, 2024 • 51
Physics3D: Learning Physical Properties of 3D Gaussians via Video Diffusion

Paper • 2406.04338 • Published Jun 6, 2024 • 39
SAM 2: Segment Anything in Images and Videos

Paper • 2408.00714 • Published Aug 1, 2024 • 120

Arbitrary-steps Image Super-resolution via Diffusion Inversion

Paper • 2412.09013 • Published Dec 12, 2024 • 13
Deep Researcher with Test-Time Diffusion

Paper • 2507.16075 • Published Jul 21 • 67
nablaNABLA: Neighborhood Adaptive Block-Level Attention

Paper • 2507.13546 • Published Jul 17 • 124
Yume: An Interactive World Generation Model

Paper • 2507.17744 • Published Jul 23 • 87

Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?

Paper • 2504.13837 • Published Apr 18 • 139

Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?

Paper • 2504.13837 • Published Apr 18 • 139
TTRL: Test-Time Reinforcement Learning

Paper • 2504.16084 • Published Apr 22 • 120
What, How, Where, and How Well? A Survey on Test-Time Scaling in Large Language Models

Paper • 2503.24235 • Published Mar 31 • 54
Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning

Paper • 2506.01939 • Published Jun 2 • 187

To Read collection

interesting papers to read

Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model

Paper • 2503.24290 • Published Mar 31 • 62
I Have Covered All the Bases Here: Interpreting Reasoning Features in Large Language Models via Sparse Autoencoders

Paper • 2503.18878 • Published Mar 24 • 119
START: Self-taught Reasoner with Tools

Paper • 2503.04625 • Published Mar 6 • 113
DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Paper • 2503.14476 • Published Mar 18 • 144

EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Paper • 2402.04252 • Published Feb 6, 2024 • 29
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6, 2024 • 14
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7, 2024 • 44
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7, 2024 • 23

Depth Anything V2

Paper • 2406.09414 • Published Jun 13, 2024 • 103
An Image is Worth More Than 16x16 Patches: Exploring Transformers on Individual Pixels

Paper • 2406.09415 • Published Jun 13, 2024 • 51
Physics3D: Learning Physical Properties of 3D Gaussians via Video Diffusion

Paper • 2406.04338 • Published Jun 6, 2024 • 39
SAM 2: Segment Anything in Images and Videos

Paper • 2408.00714 • Published Aug 1, 2024 • 120

Less is More: Recursive Reasoning with Tiny Networks

Paper • 2510.04871 • Published Oct 6 • 499
When Thoughts Meet Facts: Reusable Reasoning for Long-Context LMs

Paper • 2510.07499 • Published Oct 8 • 48
Improving Context Fidelity via Native Retrieval-Augmented Reasoning

Paper • 2509.13683 • Published Sep 17 • 8
Multimodal Iterative RAG for Knowledge-Intensive Visual Question Answering

Paper • 2509.00798 • Published Aug 31 • 1

Arbitrary-steps Image Super-resolution via Diffusion Inversion

Paper • 2412.09013 • Published Dec 12, 2024 • 13
Deep Researcher with Test-Time Diffusion

Paper • 2507.16075 • Published Jul 21 • 67
nablaNABLA: Neighborhood Adaptive Block-Level Attention

Paper • 2507.13546 • Published Jul 17 • 124
Yume: An Interactive World Generation Model

Paper • 2507.17744 • Published Jul 23 • 87

Putting the Value Back in RL: Better Test-Time Scaling by Unifying LLM Reasoners With Verifiers

Paper • 2505.04842 • Published May 7 • 12
ZeroSearch: Incentivize the Search Capability of LLMs without Searching

Paper • 2505.04588 • Published May 7 • 65
WebThinker: Empowering Large Reasoning Models with Deep Research Capability

Paper • 2504.21776 • Published Apr 30 • 59
Agentic Reasoning and Tool Integration for LLMs via Reinforcement Learning

Paper • 2505.01441 • Published Apr 28 • 39

Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?

Paper • 2504.13837 • Published Apr 18 • 139

Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems

Paper • 2504.01990 • Published Mar 31 • 301
Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?

Paper • 2504.13837 • Published Apr 18 • 139

Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?

Paper • 2504.13837 • Published Apr 18 • 139
TTRL: Test-Time Reinforcement Learning

Paper • 2504.16084 • Published Apr 22 • 120
What, How, Where, and How Well? A Survey on Test-Time Scaling in Large Language Models

Paper • 2503.24235 • Published Mar 31 • 54
Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning

Paper • 2506.01939 • Published Jun 2 • 187

Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?

Paper • 2504.13837 • Published Apr 18 • 139
Hierarchical Reasoning Model

Paper • 2506.21734 • Published Jun 26 • 46

To Read collection

interesting papers to read

Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model

Paper • 2503.24290 • Published Mar 31 • 62
I Have Covered All the Bases Here: Interpreting Reasoning Features in Large Language Models via Sparse Autoencoders

Paper • 2503.18878 • Published Mar 24 • 119
START: Self-taught Reasoner with Tools

Paper • 2503.04625 • Published Mar 6 • 113
DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Paper • 2503.14476 • Published Mar 18 • 144

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