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Collections including paper arxiv:2504.08837

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

Paper • 2402.04252 • Published Feb 6, 2024 • 29
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6, 2024 • 14
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7, 2024 • 44
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7, 2024 • 23

papers about VLM reasoning

VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement Learning

Paper • 2504.08837 • Published Apr 10 • 43
OpenVLThinker: An Early Exploration to Complex Vision-Language Reasoning via Iterative Self-Improvement

Paper • 2503.17352 • Published Mar 21 • 24
Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling

Paper • 2412.05271 • Published Dec 6, 2024 • 159
R1-Omni: Explainable Omni-Multimodal Emotion Recognition with Reinforcing Learning

Paper • 2503.05379 • Published Mar 7 • 38

CoRAG: Collaborative Retrieval-Augmented Generation

Paper • 2504.01883 • Published Apr 2 • 9
VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement Learning

Paper • 2504.08837 • Published Apr 10 • 43
Mavors: Multi-granularity Video Representation for Multimodal Large Language Model

Paper • 2504.10068 • Published Apr 14 • 30
xVerify: Efficient Answer Verifier for Reasoning Model Evaluations

Paper • 2504.10481 • Published Apr 14 • 85

Multimodal Reasoning

InfiR : Crafting Effective Small Language Models and Multimodal Small Language Models in Reasoning

Paper • 2502.11573 • Published Feb 17 • 9
Boosting Multimodal Reasoning with MCTS-Automated Structured Thinking

Paper • 2502.02339 • Published Feb 4 • 22
video-SALMONN-o1: Reasoning-enhanced Audio-visual Large Language Model

Paper • 2502.11775 • Published Feb 17 • 9
Mulberry: Empowering MLLM with o1-like Reasoning and Reflection via Collective Monte Carlo Tree Search

Paper • 2412.18319 • Published Dec 24, 2024 • 39

Thoughts Are All Over the Place: On the Underthinking of o1-Like LLMs

Paper • 2501.18585 • Published Jan 30 • 61
Improving Multi-Step Reasoning Abilities of Large Language Models with Direct Advantage Policy Optimization

Paper • 2412.18279 • Published Dec 24, 2024
Step-KTO: Optimizing Mathematical Reasoning through Stepwise Binary Feedback

Paper • 2501.10799 • Published Jan 18 • 15
Reward-Guided Speculative Decoding for Efficient LLM Reasoning

Paper • 2501.19324 • Published Jan 31 • 39

ThinkAct: Vision-Language-Action Reasoning via Reinforced Visual Latent Planning

Paper • 2507.16815 • Published Jul 22 • 39
Semi-off-Policy Reinforcement Learning for Vision-Language Slow-thinking Reasoning

Paper • 2507.16814 • Published Jul 22 • 21
Vision-R1: Evolving Human-Free Alignment in Large Vision-Language Models via Vision-Guided Reinforcement Learning

Paper • 2503.18013 • Published Mar 23 • 20
VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement Learning

Paper • 2504.08837 • Published Apr 10 • 43

SoTA VLM for Reasoning

TIGER-Lab/VL-Rethinker-72B

Visual Question Answering • 73B • Updated May 5 • 48 • 5
VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement Learning

Paper • 2504.08837 • Published Apr 10 • 43
TIGER-Lab/VL-Rethinker-7B

Image-Text-to-Text • 8B • Updated May 5 • 980 • 13
TIGER-Lab/VL-Reasoner-72B

Visual Question Answering • 73B • Updated Apr 21 • 21 • 3

Think Twice: Enhancing LLM Reasoning by Scaling Multi-round Test-time Thinking

Paper • 2503.19855 • Published Mar 25 • 29
Think Before Recommend: Unleashing the Latent Reasoning Power for Sequential Recommendation

Paper • 2503.22675 • Published Mar 28 • 36
VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement Learning

Paper • 2504.08837 • Published Apr 10 • 43
OpenThinkIMG: Learning to Think with Images via Visual Tool Reinforcement Learning

Paper • 2505.08617 • Published May 13 • 41

URSA: Understanding and Verifying Chain-of-thought Reasoning in Multimodal Mathematics

Paper • 2501.04686 • Published Jan 8 • 53
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models

Paper • 2501.09686 • Published Jan 16 • 41
LLaVA-o1: Let Vision Language Models Reason Step-by-Step

Paper • 2411.10440 • Published Nov 15, 2024 • 130
TheoremExplainAgent: Towards Multimodal Explanations for LLM Theorem Understanding

Paper • 2502.19400 • Published Feb 26 • 48

RL+reason model

RL + Transformer = A General-Purpose Problem Solver

Paper • 2501.14176 • Published Jan 24 • 28
Towards General-Purpose Model-Free Reinforcement Learning

Paper • 2501.16142 • Published Jan 27 • 30
SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training

Paper • 2501.17161 • Published Jan 28 • 123
MaxInfoRL: Boosting exploration in reinforcement learning through information gain maximization

Paper • 2412.12098 • Published Dec 16, 2024 • 4

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

Paper • 2402.04252 • Published Feb 6, 2024 • 29
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6, 2024 • 14
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7, 2024 • 44
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7, 2024 • 23

ThinkAct: Vision-Language-Action Reasoning via Reinforced Visual Latent Planning

Paper • 2507.16815 • Published Jul 22 • 39
Semi-off-Policy Reinforcement Learning for Vision-Language Slow-thinking Reasoning

Paper • 2507.16814 • Published Jul 22 • 21
Vision-R1: Evolving Human-Free Alignment in Large Vision-Language Models via Vision-Guided Reinforcement Learning

Paper • 2503.18013 • Published Mar 23 • 20
VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement Learning

Paper • 2504.08837 • Published Apr 10 • 43

papers about VLM reasoning

VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement Learning

Paper • 2504.08837 • Published Apr 10 • 43
OpenVLThinker: An Early Exploration to Complex Vision-Language Reasoning via Iterative Self-Improvement

Paper • 2503.17352 • Published Mar 21 • 24
Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling

Paper • 2412.05271 • Published Dec 6, 2024 • 159
R1-Omni: Explainable Omni-Multimodal Emotion Recognition with Reinforcing Learning

Paper • 2503.05379 • Published Mar 7 • 38

SoTA VLM for Reasoning

TIGER-Lab/VL-Rethinker-72B

Visual Question Answering • 73B • Updated May 5 • 48 • 5
VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement Learning

Paper • 2504.08837 • Published Apr 10 • 43
TIGER-Lab/VL-Rethinker-7B

Image-Text-to-Text • 8B • Updated May 5 • 980 • 13
TIGER-Lab/VL-Reasoner-72B

Visual Question Answering • 73B • Updated Apr 21 • 21 • 3

CoRAG: Collaborative Retrieval-Augmented Generation

Paper • 2504.01883 • Published Apr 2 • 9
VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement Learning

Paper • 2504.08837 • Published Apr 10 • 43
Mavors: Multi-granularity Video Representation for Multimodal Large Language Model

Paper • 2504.10068 • Published Apr 14 • 30
xVerify: Efficient Answer Verifier for Reasoning Model Evaluations

Paper • 2504.10481 • Published Apr 14 • 85

Think Twice: Enhancing LLM Reasoning by Scaling Multi-round Test-time Thinking

Paper • 2503.19855 • Published Mar 25 • 29
Think Before Recommend: Unleashing the Latent Reasoning Power for Sequential Recommendation

Paper • 2503.22675 • Published Mar 28 • 36
VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement Learning

Paper • 2504.08837 • Published Apr 10 • 43
OpenThinkIMG: Learning to Think with Images via Visual Tool Reinforcement Learning

Paper • 2505.08617 • Published May 13 • 41

Multimodal Reasoning

InfiR : Crafting Effective Small Language Models and Multimodal Small Language Models in Reasoning

Paper • 2502.11573 • Published Feb 17 • 9
Boosting Multimodal Reasoning with MCTS-Automated Structured Thinking

Paper • 2502.02339 • Published Feb 4 • 22
video-SALMONN-o1: Reasoning-enhanced Audio-visual Large Language Model

Paper • 2502.11775 • Published Feb 17 • 9
Mulberry: Empowering MLLM with o1-like Reasoning and Reflection via Collective Monte Carlo Tree Search

Paper • 2412.18319 • Published Dec 24, 2024 • 39

URSA: Understanding and Verifying Chain-of-thought Reasoning in Multimodal Mathematics

Paper • 2501.04686 • Published Jan 8 • 53
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models

Paper • 2501.09686 • Published Jan 16 • 41
LLaVA-o1: Let Vision Language Models Reason Step-by-Step

Paper • 2411.10440 • Published Nov 15, 2024 • 130
TheoremExplainAgent: Towards Multimodal Explanations for LLM Theorem Understanding

Paper • 2502.19400 • Published Feb 26 • 48

Thoughts Are All Over the Place: On the Underthinking of o1-Like LLMs

Paper • 2501.18585 • Published Jan 30 • 61
Improving Multi-Step Reasoning Abilities of Large Language Models with Direct Advantage Policy Optimization

Paper • 2412.18279 • Published Dec 24, 2024
Step-KTO: Optimizing Mathematical Reasoning through Stepwise Binary Feedback

Paper • 2501.10799 • Published Jan 18 • 15
Reward-Guided Speculative Decoding for Efficient LLM Reasoning

Paper • 2501.19324 • Published Jan 31 • 39

RL+reason model

RL + Transformer = A General-Purpose Problem Solver

Paper • 2501.14176 • Published Jan 24 • 28
Towards General-Purpose Model-Free Reinforcement Learning

Paper • 2501.16142 • Published Jan 27 • 30
SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training

Paper • 2501.17161 • Published Jan 28 • 123
MaxInfoRL: Boosting exploration in reinforcement learning through information gain maximization

Paper • 2412.12098 • Published Dec 16, 2024 • 4

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