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Collections including paper arxiv:2502.10391

about 2 hours ago

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

about 12 hours ago

ZeroBench: An Impossible Visual Benchmark for Contemporary Large Multimodal Models

Paper • 2502.09696 • Published 10 days ago • 38
MM-RLHF: The Next Step Forward in Multimodal LLM Alignment

Paper • 2502.10391 • Published 9 days ago • 29
Autellix: An Efficient Serving Engine for LLM Agents as General Programs

Paper • 2502.13965 • Published 4 days ago • 16

Evolving Deeper LLM Thinking

Paper • 2501.09891 • Published Jan 17 • 106
PaSa: An LLM Agent for Comprehensive Academic Paper Search

Paper • 2501.10120 • Published Jan 17 • 43
Multiple Choice Questions: Reasoning Makes Large Language Models (LLMs) More Self-Confident Even When They Are Wrong

Paper • 2501.09775 • Published Jan 16 • 29
ComplexFuncBench: Exploring Multi-Step and Constrained Function Calling under Long-Context Scenario

Paper • 2501.10132 • Published Jan 17 • 19

The Next Step Forward in Multimodal LLM Alignment

yifanzhang114/MM-RLHF

Viewer • Updated 3 days ago • 16.3k • 317 • 7
yifanzhang114/MM-RLHF-RewardBench

Viewer • Updated 3 days ago • 170 • 252
yifanzhang114/MM-RLHF-Reward-7B-llava-ov-qwen

Image-Text-to-Text • Updated 3 days ago • 95
MM-RLHF: The Next Step Forward in Multimodal LLM Alignment

Paper • 2502.10391 • Published 9 days ago • 29

rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking

Paper • 2501.04519 • Published Jan 8 • 257
Transformer^2: Self-adaptive LLMs

Paper • 2501.06252 • Published Jan 9 • 53
Multimodal LLMs Can Reason about Aesthetics in Zero-Shot

Paper • 2501.09012 • Published Jan 15 • 10
FAST: Efficient Action Tokenization for Vision-Language-Action Models

Paper • 2501.09747 • Published Jan 16 • 23

Multimodal Alignment

MIA-DPO: Multi-Image Augmented Direct Preference Optimization For Large Vision-Language Models

Paper • 2410.17637 • Published Oct 23, 2024 • 35
Enhancing the Reasoning Ability of Multimodal Large Language Models via Mixed Preference Optimization

Paper • 2411.10442 • Published Nov 15, 2024 • 74
Critic-V: VLM Critics Help Catch VLM Errors in Multimodal Reasoning

Paper • 2411.18203 • Published Nov 27, 2024 • 34
Insight-V: Exploring Long-Chain Visual Reasoning with Multimodal Large Language Models

Paper • 2411.14432 • Published Nov 21, 2024 • 23

Pangea: A Fully Open Multilingual Multimodal LLM for 39 Languages

Paper • 2410.16153 • Published Oct 21, 2024 • 44
AutoTrain: No-code training for state-of-the-art models

Paper • 2410.15735 • Published Oct 21, 2024 • 59
The Curse of Multi-Modalities: Evaluating Hallucinations of Large Multimodal Models across Language, Visual, and Audio

Paper • 2410.12787 • Published Oct 16, 2024 • 31
LEOPARD : A Vision Language Model For Text-Rich Multi-Image Tasks

Paper • 2410.01744 • Published Oct 2, 2024 • 26

LLM Pruning and Distillation in Practice: The Minitron Approach

Paper • 2408.11796 • Published Aug 21, 2024 • 58
TableBench: A Comprehensive and Complex Benchmark for Table Question Answering

Paper • 2408.09174 • Published Aug 17, 2024 • 52
To Code, or Not To Code? Exploring Impact of Code in Pre-training

Paper • 2408.10914 • Published Aug 20, 2024 • 42
Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications

Paper • 2408.11878 • Published Aug 20, 2024 • 56

Multimodal Benchmarks

Multimodal Self-Instruct: Synthetic Abstract Image and Visual Reasoning Instruction Using Language Model

Paper • 2407.07053 • Published Jul 9, 2024 • 44
LMMs-Eval: Reality Check on the Evaluation of Large Multimodal Models

Paper • 2407.12772 • Published Jul 17, 2024 • 34
VLMEvalKit: An Open-Source Toolkit for Evaluating Large Multi-Modality Models

Paper • 2407.11691 • Published Jul 16, 2024 • 14
MMIU: Multimodal Multi-image Understanding for Evaluating Large Vision-Language Models

Paper • 2408.02718 • Published Aug 5, 2024 • 61

MS MARCO Web Search: a Large-scale Information-rich Web Dataset with Millions of Real Click Labels

Paper • 2405.07526 • Published May 13, 2024 • 21
Automatic Data Curation for Self-Supervised Learning: A Clustering-Based Approach

Paper • 2405.15613 • Published May 24, 2024 • 15
A Touch, Vision, and Language Dataset for Multimodal Alignment

Paper • 2402.13232 • Published Feb 20, 2024 • 15
How Do Large Language Models Acquire Factual Knowledge During Pretraining?

Paper • 2406.11813 • Published Jun 17, 2024 • 31

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