Collection by
Jul 8, 2024
Collections
Discover the best community collections!
Collections including paper arxiv:2402.13220
Collection by
Apr 23, 2024
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PALO: A Polyglot Large Multimodal Model for 5B People
Paper • 2402.14818 • Published • 23 -
LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens
Paper • 2402.13753 • Published • 116 -
User-LLM: Efficient LLM Contextualization with User Embeddings
Paper • 2402.13598 • Published • 21 -
Coercing LLMs to do and reveal (almost) anything
Paper • 2402.14020 • Published • 13
Collection by
14 days ago
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EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters
Paper • 2402.04252 • Published • 29 -
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models
Paper • 2402.03749 • Published • 14 -
ScreenAI: A Vision-Language Model for UI and Infographics Understanding
Paper • 2402.04615 • Published • 44 -
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss
Paper • 2402.05008 • Published • 23
Collection by
Jul 19, 2024
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Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training
Paper • 2401.05566 • Published • 30 -
Weak-to-Strong Jailbreaking on Large Language Models
Paper • 2401.17256 • Published • 16 -
How Easy is It to Fool Your Multimodal LLMs? An Empirical Analysis on Deceptive Prompts
Paper • 2402.13220 • Published • 14 -
The Instruction Hierarchy: Training LLMs to Prioritize Privileged Instructions
Paper • 2404.13208 • Published • 40
Collection by
Sep 19, 2024
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A Survey on Hallucination in Large Vision-Language Models
Paper • 2402.00253 • Published -
Mitigating Object Hallucination in Large Vision-Language Models via Classifier-Free Guidance
Paper • 2402.08680 • Published • 1 -
How Easy is It to Fool Your Multimodal LLMs? An Empirical Analysis on Deceptive Prompts
Paper • 2402.13220 • Published • 14 -
FGAIF: Aligning Large Vision-Language Models with Fine-grained AI Feedback
Paper • 2404.05046 • Published
Collection by
Oct 30, 2025
Collection by
12 days ago
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Self-Rewarding Language Models
Paper • 2401.10020 • Published • 151 -
Orion-14B: Open-source Multilingual Large Language Models
Paper • 2401.12246 • Published • 14 -
MambaByte: Token-free Selective State Space Model
Paper • 2401.13660 • Published • 60 -
MM-LLMs: Recent Advances in MultiModal Large Language Models
Paper • 2401.13601 • Published • 48
Collection by
Jun 4, 2024
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Scalable Extraction of Training Data from (Production) Language Models
Paper • 2311.17035 • Published • 3 -
Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training
Paper • 2401.05566 • Published • 30 -
Exploiting Novel GPT-4 APIs
Paper • 2312.14302 • Published • 14 -
The Instruction Hierarchy: Training LLMs to Prioritize Privileged Instructions
Paper • 2404.13208 • Published • 40
Collection by
Jul 8, 2024
Collection by
Sep 19, 2024
-
A Survey on Hallucination in Large Vision-Language Models
Paper • 2402.00253 • Published -
Mitigating Object Hallucination in Large Vision-Language Models via Classifier-Free Guidance
Paper • 2402.08680 • Published • 1 -
How Easy is It to Fool Your Multimodal LLMs? An Empirical Analysis on Deceptive Prompts
Paper • 2402.13220 • Published • 14 -
FGAIF: Aligning Large Vision-Language Models with Fine-grained AI Feedback
Paper • 2404.05046 • Published
Collection by
Apr 23, 2024
-
PALO: A Polyglot Large Multimodal Model for 5B People
Paper • 2402.14818 • Published • 23 -
LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens
Paper • 2402.13753 • Published • 116 -
User-LLM: Efficient LLM Contextualization with User Embeddings
Paper • 2402.13598 • Published • 21 -
Coercing LLMs to do and reveal (almost) anything
Paper • 2402.14020 • Published • 13
Collection by
Oct 30, 2025
Collection by
14 days ago
-
EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters
Paper • 2402.04252 • Published • 29 -
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models
Paper • 2402.03749 • Published • 14 -
ScreenAI: A Vision-Language Model for UI and Infographics Understanding
Paper • 2402.04615 • Published • 44 -
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss
Paper • 2402.05008 • Published • 23
Collection by
12 days ago
-
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 151 -
Orion-14B: Open-source Multilingual Large Language Models
Paper • 2401.12246 • Published • 14 -
MambaByte: Token-free Selective State Space Model
Paper • 2401.13660 • Published • 60 -
MM-LLMs: Recent Advances in MultiModal Large Language Models
Paper • 2401.13601 • Published • 48
Collection by
Jul 19, 2024
-
Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training
Paper • 2401.05566 • Published • 30 -
Weak-to-Strong Jailbreaking on Large Language Models
Paper • 2401.17256 • Published • 16 -
How Easy is It to Fool Your Multimodal LLMs? An Empirical Analysis on Deceptive Prompts
Paper • 2402.13220 • Published • 14 -
The Instruction Hierarchy: Training LLMs to Prioritize Privileged Instructions
Paper • 2404.13208 • Published • 40
Collection by
Jun 4, 2024
-
Scalable Extraction of Training Data from (Production) Language Models
Paper • 2311.17035 • Published • 3 -
Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training
Paper • 2401.05566 • Published • 30 -
Exploiting Novel GPT-4 APIs
Paper • 2312.14302 • Published • 14 -
The Instruction Hierarchy: Training LLMs to Prioritize Privileged Instructions
Paper • 2404.13208 • Published • 40