-
EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters
Paper • 2402.04252 • Published • 26 -
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models
Paper • 2402.03749 • Published • 13 -
ScreenAI: A Vision-Language Model for UI and Infographics Understanding
Paper • 2402.04615 • Published • 43 -
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss
Paper • 2402.05008 • Published • 22
Collections
Discover the best community collections!
Collections including paper arxiv:2407.02477
-
Remember, Retrieve and Generate: Understanding Infinite Visual Concepts as Your Personalized Assistant
Paper • 2410.13360 • Published • 9 -
Critic-V: VLM Critics Help Catch VLM Errors in Multimodal Reasoning
Paper • 2411.18203 • Published • 34 -
Towards Interpreting Visual Information Processing in Vision-Language Models
Paper • 2410.07149 • Published • 1 -
Understanding Alignment in Multimodal LLMs: A Comprehensive Study
Paper • 2407.02477 • Published • 23
-
Agentless: Demystifying LLM-based Software Engineering Agents
Paper • 2407.01489 • Published • 61 -
Summary of a Haystack: A Challenge to Long-Context LLMs and RAG Systems
Paper • 2407.01370 • Published • 88 -
OneKE: A Dockerized Schema-Guided LLM Agent-based Knowledge Extraction System
Paper • 2412.20005 • Published • 18 -
Understanding Alignment in Multimodal LLMs: A Comprehensive Study
Paper • 2407.02477 • Published • 23
-
Internal Consistency and Self-Feedback in Large Language Models: A Survey
Paper • 2407.14507 • Published • 46 -
New Desiderata for Direct Preference Optimization
Paper • 2407.09072 • Published • 11 -
Self-Recognition in Language Models
Paper • 2407.06946 • Published • 26 -
MJ-Bench: Is Your Multimodal Reward Model Really a Good Judge for Text-to-Image Generation?
Paper • 2407.04842 • Published • 55
-
Math-LLaVA: Bootstrapping Mathematical Reasoning for Multimodal Large Language Models
Paper • 2406.17294 • Published • 11 -
TokenPacker: Efficient Visual Projector for Multimodal LLM
Paper • 2407.02392 • Published • 23 -
Understanding Alignment in Multimodal LLMs: A Comprehensive Study
Paper • 2407.02477 • Published • 23 -
InternLM-XComposer-2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output
Paper • 2407.03320 • Published • 95
-
Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs
Paper • 2406.16860 • Published • 60 -
Understanding Alignment in Multimodal LLMs: A Comprehensive Study
Paper • 2407.02477 • Published • 23 -
LongVILA: Scaling Long-Context Visual Language Models for Long Videos
Paper • 2408.10188 • Published • 52 -
Building and better understanding vision-language models: insights and future directions
Paper • 2408.12637 • Published • 126
-
VoCo-LLaMA: Towards Vision Compression with Large Language Models
Paper • 2406.12275 • Published • 31 -
TroL: Traversal of Layers for Large Language and Vision Models
Paper • 2406.12246 • Published • 35 -
Multimodal Task Vectors Enable Many-Shot Multimodal In-Context Learning
Paper • 2406.15334 • Published • 9 -
Benchmarking Multi-Image Understanding in Vision and Language Models: Perception, Knowledge, Reasoning, and Multi-Hop Reasoning
Paper • 2406.12742 • Published • 15
-
RLHF Workflow: From Reward Modeling to Online RLHF
Paper • 2405.07863 • Published • 68 -
Chameleon: Mixed-Modal Early-Fusion Foundation Models
Paper • 2405.09818 • Published • 131 -
Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models
Paper • 2405.15574 • Published • 55 -
An Introduction to Vision-Language Modeling
Paper • 2405.17247 • Published • 88
-
MotionLLM: Understanding Human Behaviors from Human Motions and Videos
Paper • 2405.20340 • Published • 20 -
Spectrally Pruned Gaussian Fields with Neural Compensation
Paper • 2405.00676 • Published • 10 -
Paint by Inpaint: Learning to Add Image Objects by Removing Them First
Paper • 2404.18212 • Published • 29 -
LoRA Land: 310 Fine-tuned LLMs that Rival GPT-4, A Technical Report
Paper • 2405.00732 • Published • 120