Models
Datasets
Spaces
Posts
Docs
Enterprise
Pricing
Log In
Sign Up

Collections

Discover the best community collections!

Collections including paper arxiv:2402.13220

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

Paper • 2402.04252 • Published Feb 6, 2024 • 26
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6, 2024 • 13
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7, 2024 • 42
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7, 2024 • 22

Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18, 2024 • 146
Orion-14B: Open-source Multilingual Large Language Models

Paper • 2401.12246 • Published Jan 20, 2024 • 13
MambaByte: Token-free Selective State Space Model

Paper • 2401.13660 • Published Jan 24, 2024 • 54
MM-LLMs: Recent Advances in MultiModal Large Language Models

Paper • 2401.13601 • Published Jan 24, 2024 • 47

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

Paper • 2402.13220 • Published Feb 20, 2024 • 15

Deceptive Prompts for MLLMs

A Survey on Hallucination in Large Vision-Language Models

Paper • 2402.00253 • Published Feb 1, 2024
Mitigating Object Hallucination in Large Vision-Language Models via Classifier-Free Guidance

Paper • 2402.08680 • Published Feb 13, 2024 • 1
How Easy is It to Fool Your Multimodal LLMs? An Empirical Analysis on Deceptive Prompts

Paper • 2402.13220 • Published Feb 20, 2024 • 15
FGAIF: Aligning Large Vision-Language Models with Fine-grained AI Feedback

Paper • 2404.05046 • Published Apr 7, 2024

PALO: A Polyglot Large Multimodal Model for 5B People

Paper • 2402.14818 • Published Feb 22, 2024 • 23
LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens

Paper • 2402.13753 • Published Feb 21, 2024 • 116
User-LLM: Efficient LLM Contextualization with User Embeddings

Paper • 2402.13598 • Published Feb 21, 2024 • 20
Coercing LLMs to do and reveal (almost) anything

Paper • 2402.14020 • Published Feb 21, 2024 • 13

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

Paper • 2402.13220 • Published Feb 20, 2024 • 15

Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training

Paper • 2401.05566 • Published Jan 10, 2024 • 29
Weak-to-Strong Jailbreaking on Large Language Models

Paper • 2401.17256 • Published Jan 30, 2024 • 16
How Easy is It to Fool Your Multimodal LLMs? An Empirical Analysis on Deceptive Prompts

Paper • 2402.13220 • Published Feb 20, 2024 • 15
The Instruction Hierarchy: Training LLMs to Prioritize Privileged Instructions

Paper • 2404.13208 • Published Apr 19, 2024 • 39

Vulnerabilities

https://llm-attacks.org/

Scalable Extraction of Training Data from (Production) Language Models

Paper • 2311.17035 • Published Nov 28, 2023 • 3
Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training

Paper • 2401.05566 • Published Jan 10, 2024 • 29
Exploiting Novel GPT-4 APIs

Paper • 2312.14302 • Published Dec 21, 2023 • 13
The Instruction Hierarchy: Training LLMs to Prioritize Privileged Instructions

Paper • 2404.13208 • Published Apr 19, 2024 • 39

Company

TOS Privacy About Jobs

Website

Models Datasets Spaces Pricing Docs