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Collections including paper arxiv:2503.06749

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

Paper • 2402.04252 • Published Feb 6, 2024 • 28
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

Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models

Paper • 2503.06749 • Published Mar 9 • 31
Osilly/Vision-R1-cold

Preview • Updated Mar 23 • 138 • 14
Osilly/Vision-R1-7B

8B • Updated Apr 13 • 600 • 12
Osilly/Vision-R1-CI-7B

8B • Updated Jun 24 • 9

Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models

Paper • 2503.06749 • Published Mar 9 • 31
Executable Code Actions Elicit Better LLM Agents

Paper • 2402.01030 • Published Feb 1, 2024 • 182
VGR: Visual Grounded Reasoning

Paper • 2506.11991 • Published Jun 13 • 19
Visual-TableQA: Open-Domain Benchmark for Reasoning over Table Images

Paper • 2509.07966 • Published Sep 9 • 4

Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models

Paper • 2503.06749 • Published Mar 9 • 31
ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models

Paper • 2505.24864 • Published May 30 • 141
OThink-R1: Intrinsic Fast/Slow Thinking Mode Switching for Over-Reasoning Mitigation

Paper • 2506.02397 • Published Jun 3 • 35

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

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

Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models

Paper • 2503.06749 • Published Mar 9 • 31

Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models

Paper • 2503.06749 • Published Mar 9 • 31

Logic-RL: Unleashing LLM Reasoning with Rule-Based Reinforcement Learning

Paper • 2502.14768 • Published Feb 20 • 47
S^2R: Teaching LLMs to Self-verify and Self-correct via Reinforcement Learning

Paper • 2502.12853 • Published Feb 18 • 29
Diverse Inference and Verification for Advanced Reasoning

Paper • 2502.09955 • Published Feb 14 • 18
Distillation Scaling Laws

Paper • 2502.08606 • Published Feb 12 • 48

Reasoning, Thinking, RL and Test-Time Scaling

about 15 hours ago

Mulberry: Empowering MLLM with o1-like Reasoning and Reflection via Collective Monte Carlo Tree Search

Paper • 2412.18319 • Published Dec 24, 2024 • 39
Token-Budget-Aware LLM Reasoning

Paper • 2412.18547 • Published Dec 24, 2024 • 46
Efficiently Serving LLM Reasoning Programs with Certaindex

Paper • 2412.20993 • Published Dec 30, 2024 • 37
B-STaR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners

Paper • 2412.17256 • Published Dec 23, 2024 • 47

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

Paper • 2402.04252 • Published Feb 6, 2024 • 28
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

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

Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models

Paper • 2503.06749 • Published Mar 9 • 31
Osilly/Vision-R1-cold

Preview • Updated Mar 23 • 138 • 14
Osilly/Vision-R1-7B

8B • Updated Apr 13 • 600 • 12
Osilly/Vision-R1-CI-7B

8B • Updated Jun 24 • 9

Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models

Paper • 2503.06749 • Published Mar 9 • 31

Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models

Paper • 2503.06749 • Published Mar 9 • 31
Executable Code Actions Elicit Better LLM Agents

Paper • 2402.01030 • Published Feb 1, 2024 • 182
VGR: Visual Grounded Reasoning

Paper • 2506.11991 • Published Jun 13 • 19
Visual-TableQA: Open-Domain Benchmark for Reasoning over Table Images

Paper • 2509.07966 • Published Sep 9 • 4

Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models

Paper • 2503.06749 • Published Mar 9 • 31

Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models

Paper • 2503.06749 • Published Mar 9 • 31
ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models

Paper • 2505.24864 • Published May 30 • 141
OThink-R1: Intrinsic Fast/Slow Thinking Mode Switching for Over-Reasoning Mitigation

Paper • 2506.02397 • Published Jun 3 • 35

Logic-RL: Unleashing LLM Reasoning with Rule-Based Reinforcement Learning

Paper • 2502.14768 • Published Feb 20 • 47
S^2R: Teaching LLMs to Self-verify and Self-correct via Reinforcement Learning

Paper • 2502.12853 • Published Feb 18 • 29
Diverse Inference and Verification for Advanced Reasoning

Paper • 2502.09955 • Published Feb 14 • 18
Distillation Scaling Laws

Paper • 2502.08606 • Published Feb 12 • 48

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

Reasoning, Thinking, RL and Test-Time Scaling

about 15 hours ago

Mulberry: Empowering MLLM with o1-like Reasoning and Reflection via Collective Monte Carlo Tree Search

Paper • 2412.18319 • Published Dec 24, 2024 • 39
Token-Budget-Aware LLM Reasoning

Paper • 2412.18547 • Published Dec 24, 2024 • 46
Efficiently Serving LLM Reasoning Programs with Certaindex

Paper • 2412.20993 • Published Dec 30, 2024 • 37
B-STaR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners

Paper • 2412.17256 • Published Dec 23, 2024 • 47

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