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Collections including paper arxiv:2402.13220

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

Paper • 2402.04252 • Published Feb 6 • 25
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6 • 12
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7 • 36
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7 • 19

How Easy is It to Fool Your Multimodal LLMs? An Empirical Analysis on Deceptive Prompts

Paper • 2402.13220 • Published Feb 20 • 12

Deceptive Prompts for MLLMs

A Survey on Hallucination in Large Vision-Language Models

Paper • 2402.00253 • Published Feb 1
Mitigating Object Hallucination in Large Vision-Language Models via Classifier-Free Guidance

Paper • 2402.08680 • Published Feb 13 • 1
How Easy is It to Fool Your Multimodal LLMs? An Empirical Analysis on Deceptive Prompts

Paper • 2402.13220 • Published Feb 20 • 12
FGAIF: Aligning Large Vision-Language Models with Fine-grained AI Feedback

Paper • 2404.05046 • Published Apr 7

PALO: A Polyglot Large Multimodal Model for 5B People

Paper • 2402.14818 • Published Feb 22 • 23
LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens

Paper • 2402.13753 • Published Feb 21 • 111
User-LLM: Efficient LLM Contextualization with User Embeddings

Paper • 2402.13598 • Published Feb 21 • 18
Coercing LLMs to do and reveal (almost) anything

Paper • 2402.14020 • Published Feb 21 • 12

How Easy is It to Fool Your Multimodal LLMs? An Empirical Analysis on Deceptive Prompts

Paper • 2402.13220 • Published Feb 20 • 12

Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18 • 142
Orion-14B: Open-source Multilingual Large Language Models

Paper • 2401.12246 • Published Jan 20 • 10
MambaByte: Token-free Selective State Space Model

Paper • 2401.13660 • Published Jan 24 • 49
MM-LLMs: Recent Advances in MultiModal Large Language Models

Paper • 2401.13601 • Published Jan 24 • 44

Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training

Paper • 2401.05566 • Published Jan 10 • 25
Weak-to-Strong Jailbreaking on Large Language Models

Paper • 2401.17256 • Published Jan 30 • 14
How Easy is It to Fool Your Multimodal LLMs? An Empirical Analysis on Deceptive Prompts

Paper • 2402.13220 • Published Feb 20 • 12
The Instruction Hierarchy: Training LLMs to Prioritize Privileged Instructions

Paper • 2404.13208 • Published Apr 19 • 38

Vulnerabilities

https://llm-attacks.org/

Scalable Extraction of Training Data from (Production) Language Models

Paper • 2311.17035 • Published Nov 28, 2023 • 4
Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training

Paper • 2401.05566 • Published Jan 10 • 25
Exploiting Novel GPT-4 APIs

Paper • 2312.14302 • Published Dec 21, 2023 • 12
The Instruction Hierarchy: Training LLMs to Prioritize Privileged Instructions

Paper • 2404.13208 • Published Apr 19 • 38

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