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Collections including paper arxiv:2406.09246

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

Paper • 2402.04252 • Published Feb 6 • 21
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6 • 9
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7 • 33
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7 • 19

Relevant-Papers-Midterm

Same Task, More Tokens: the Impact of Input Length on the Reasoning Performance of Large Language Models

Paper • 2402.14848 • Published Feb 19 • 18
The Prompt Report: A Systematic Survey of Prompting Techniques

Paper • 2406.06608 • Published 23 days ago • 46
CRAG -- Comprehensive RAG Benchmark

Paper • 2406.04744 • Published 22 days ago • 37
Transformers meet Neural Algorithmic Reasoners

Paper • 2406.09308 • Published 16 days ago • 43

Cognitively Inspired Energy-Based World Models

Paper • 2406.08862 • Published 16 days ago • 9
An Image is Worth More Than 16x16 Patches: Exploring Transformers on Individual Pixels

Paper • 2406.09415 • Published 16 days ago • 47
OpenVLA: An Open-Source Vision-Language-Action Model

Paper • 2406.09246 • Published 16 days ago • 28

MotionLLM: Understanding Human Behaviors from Human Motions and Videos

Paper • 2405.20340 • Published 30 days ago • 19
Spectrally Pruned Gaussian Fields with Neural Compensation

Paper • 2405.00676 • Published May 1 • 8
Paint by Inpaint: Learning to Add Image Objects by Removing Them First

Paper • 2404.18212 • Published Apr 28 • 25
LoRA Land: 310 Fine-tuned LLMs that Rival GPT-4, A Technical Report

Paper • 2405.00732 • Published Apr 29 • 116

iVideoGPT: Interactive VideoGPTs are Scalable World Models

Paper • 2405.15223 • Published May 24 • 11
Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models

Paper • 2405.15574 • Published May 24 • 52
An Introduction to Vision-Language Modeling

Paper • 2405.17247 • Published May 27 • 77
Matryoshka Multimodal Models

Paper • 2405.17430 • Published May 27 • 29

mllm applications

Ferret-UI: Grounded Mobile UI Understanding with Multimodal LLMs

Paper • 2404.05719 • Published Apr 8 • 57
OpenVLA: An Open-Source Vision-Language-Action Model

Paper • 2406.09246 • Published 16 days ago • 28

More Agents Is All You Need

Paper • 2402.05120 • Published Feb 3 • 47
OS-Copilot: Towards Generalist Computer Agents with Self-Improvement

Paper • 2402.07456 • Published Feb 12 • 39
Generative Agents: Interactive Simulacra of Human Behavior

Paper • 2304.03442 • Published Apr 7, 2023 • 11
Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models

Paper • 2310.04406 • Published Oct 6, 2023 • 8

Foundation Models

OLMo: Accelerating the Science of Language Models

Paper • 2402.00838 • Published Feb 1 • 75
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Paper • 2403.05530 • Published Mar 8 • 51
StarCoder: may the source be with you!

Paper • 2305.06161 • Published May 9, 2023 • 29
SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling

Paper • 2312.15166 • Published Dec 23, 2023 • 55

Vision Language Models

BLINK: Multimodal Large Language Models Can See but Not Perceive

Paper • 2404.12390 • Published Apr 18 • 23
TextSquare: Scaling up Text-Centric Visual Instruction Tuning

Paper • 2404.12803 • Published Apr 19 • 28
Groma: Localized Visual Tokenization for Grounding Multimodal Large Language Models

Paper • 2404.13013 • Published Apr 19 • 27
InternLM-XComposer2-4KHD: A Pioneering Large Vision-Language Model Handling Resolutions from 336 Pixels to 4K HD

Paper • 2404.06512 • Published Apr 9 • 29

LLaVAR: Enhanced Visual Instruction Tuning for Text-Rich Image Understanding

Paper • 2306.17107 • Published Jun 29, 2023 • 11
On the Hidden Mystery of OCR in Large Multimodal Models

Paper • 2305.07895 • Published May 13, 2023
Qwen-VL: A Frontier Large Vision-Language Model with Versatile Abilities

Paper • 2308.12966 • Published Aug 24, 2023 • 6
MoE-LLaVA: Mixture of Experts for Large Vision-Language Models

Paper • 2401.15947 • Published Jan 29 • 47

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