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Collections including paper arxiv:2506.18254

Part I: Tricks or Traps? A Deep Dive into RL for LLM Reasoning

Paper • 2508.08221 • Published Aug 11, 2025 • 50
Reinforcement Learning for Reasoning in Large Language Models with One Training Example

Paper • 2504.20571 • Published Apr 29, 2025 • 98
RLPR: Extrapolating RLVR to General Domains without Verifiers

Paper • 2506.18254 • Published Jun 23, 2025 • 33

reinforcement-learning

Advancing Multimodal Reasoning: From Optimized Cold Start to Staged Reinforcement Learning

Paper • 2506.04207 • Published Jun 4, 2025 • 48
SFT or RL? An Early Investigation into Training R1-Like Reasoning Large Vision-Language Models

Paper • 2504.11468 • Published Apr 10, 2025 • 30
RLPR: Extrapolating RLVR to General Domains without Verifiers

Paper • 2506.18254 • Published Jun 23, 2025 • 33
Open Vision Reasoner: Transferring Linguistic Cognitive Behavior for Visual Reasoning

Paper • 2507.05255 • Published Jul 7, 2025 • 75

Large Language Diffusion Models

Paper • 2502.09992 • Published Feb 14, 2025 • 127
MM-RLHF: The Next Step Forward in Multimodal LLM Alignment

Paper • 2502.10391 • Published Feb 14, 2025 • 34
Diverse Inference and Verification for Advanced Reasoning

Paper • 2502.09955 • Published Feb 14, 2025 • 18
Selective Self-to-Supervised Fine-Tuning for Generalization in Large Language Models

Paper • 2502.08130 • Published Feb 12, 2025 • 9

M3DocRAG: Multi-modal Retrieval is What You Need for Multi-page Multi-document Understanding

Paper • 2411.04952 • Published Nov 7, 2024 • 29
Diff-2-in-1: Bridging Generation and Dense Perception with Diffusion Models

Paper • 2411.05005 • Published Nov 7, 2024 • 13
M3SciQA: A Multi-Modal Multi-Document Scientific QA Benchmark for Evaluating Foundation Models

Paper • 2411.04075 • Published Nov 6, 2024 • 16
Self-Consistency Preference Optimization

Paper • 2411.04109 • Published Nov 6, 2024 • 19

Extrapolating RLVR to General Domains without Verifiers

RLPR: Extrapolating RLVR to General Domains without Verifiers

Paper • 2506.18254 • Published Jun 23, 2025 • 33
openbmb/RLPR-Train-Dataset

Viewer • Updated Jun 30, 2025 • 77.7k • 501 • 28
openbmb/RLPR-Qwen2.5-7B-Base

Text Generation • 8B • Updated Jun 30, 2025 • 14 • 8
openbmb/RLPR-Gemma2-2B-it

Text Generation • 3B • Updated Jun 30, 2025 • 11 • 3

Describe Anything: Detailed Localized Image and Video Captioning

Paper • 2504.16072 • Published Apr 22, 2025 • 64
EmbodiedCity: A Benchmark Platform for Embodied Agent in Real-world City Environment

Paper • 2410.09604 • Published Oct 12, 2024
Geospatial Mechanistic Interpretability of Large Language Models

Paper • 2505.03368 • Published May 6, 2025 • 13
Scenethesis: A Language and Vision Agentic Framework for 3D Scene Generation

Paper • 2505.02836 • Published May 5, 2025 • 8

Reasoning Models

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

Paper • 2501.18585 • Published Jan 30, 2025 • 61
LLMs Can Easily Learn to Reason from Demonstrations Structure, not content, is what matters!

Paper • 2502.07374 • Published Feb 11, 2025 • 40
Can 1B LLM Surpass 405B LLM? Rethinking Compute-Optimal Test-Time Scaling

Paper • 2502.06703 • Published Feb 10, 2025 • 153
S*: Test Time Scaling for Code Generation

Paper • 2502.14382 • Published Feb 20, 2025 • 63

RL+reason model

RL + Transformer = A General-Purpose Problem Solver

Paper • 2501.14176 • Published Jan 24, 2025 • 28
Towards General-Purpose Model-Free Reinforcement Learning

Paper • 2501.16142 • Published Jan 27, 2025 • 31
SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training

Paper • 2501.17161 • Published Jan 28, 2025 • 125
MaxInfoRL: Boosting exploration in reinforcement learning through information gain maximization

Paper • 2412.12098 • Published Dec 16, 2024 • 4

Part I: Tricks or Traps? A Deep Dive into RL for LLM Reasoning

Paper • 2508.08221 • Published Aug 11, 2025 • 50
Reinforcement Learning for Reasoning in Large Language Models with One Training Example

Paper • 2504.20571 • Published Apr 29, 2025 • 98
RLPR: Extrapolating RLVR to General Domains without Verifiers

Paper • 2506.18254 • Published Jun 23, 2025 • 33

Extrapolating RLVR to General Domains without Verifiers

RLPR: Extrapolating RLVR to General Domains without Verifiers

Paper • 2506.18254 • Published Jun 23, 2025 • 33
openbmb/RLPR-Train-Dataset

Viewer • Updated Jun 30, 2025 • 77.7k • 501 • 28
openbmb/RLPR-Qwen2.5-7B-Base

Text Generation • 8B • Updated Jun 30, 2025 • 14 • 8
openbmb/RLPR-Gemma2-2B-it

Text Generation • 3B • Updated Jun 30, 2025 • 11 • 3

reinforcement-learning

Advancing Multimodal Reasoning: From Optimized Cold Start to Staged Reinforcement Learning

Paper • 2506.04207 • Published Jun 4, 2025 • 48
SFT or RL? An Early Investigation into Training R1-Like Reasoning Large Vision-Language Models

Paper • 2504.11468 • Published Apr 10, 2025 • 30
RLPR: Extrapolating RLVR to General Domains without Verifiers

Paper • 2506.18254 • Published Jun 23, 2025 • 33
Open Vision Reasoner: Transferring Linguistic Cognitive Behavior for Visual Reasoning

Paper • 2507.05255 • Published Jul 7, 2025 • 75

Describe Anything: Detailed Localized Image and Video Captioning

Paper • 2504.16072 • Published Apr 22, 2025 • 64
EmbodiedCity: A Benchmark Platform for Embodied Agent in Real-world City Environment

Paper • 2410.09604 • Published Oct 12, 2024
Geospatial Mechanistic Interpretability of Large Language Models

Paper • 2505.03368 • Published May 6, 2025 • 13
Scenethesis: A Language and Vision Agentic Framework for 3D Scene Generation

Paper • 2505.02836 • Published May 5, 2025 • 8

Large Language Diffusion Models

Paper • 2502.09992 • Published Feb 14, 2025 • 127
MM-RLHF: The Next Step Forward in Multimodal LLM Alignment

Paper • 2502.10391 • Published Feb 14, 2025 • 34
Diverse Inference and Verification for Advanced Reasoning

Paper • 2502.09955 • Published Feb 14, 2025 • 18
Selective Self-to-Supervised Fine-Tuning for Generalization in Large Language Models

Paper • 2502.08130 • Published Feb 12, 2025 • 9

Reasoning Models

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

Paper • 2501.18585 • Published Jan 30, 2025 • 61
LLMs Can Easily Learn to Reason from Demonstrations Structure, not content, is what matters!

Paper • 2502.07374 • Published Feb 11, 2025 • 40
Can 1B LLM Surpass 405B LLM? Rethinking Compute-Optimal Test-Time Scaling

Paper • 2502.06703 • Published Feb 10, 2025 • 153
S*: Test Time Scaling for Code Generation

Paper • 2502.14382 • Published Feb 20, 2025 • 63

M3DocRAG: Multi-modal Retrieval is What You Need for Multi-page Multi-document Understanding

Paper • 2411.04952 • Published Nov 7, 2024 • 29
Diff-2-in-1: Bridging Generation and Dense Perception with Diffusion Models

Paper • 2411.05005 • Published Nov 7, 2024 • 13
M3SciQA: A Multi-Modal Multi-Document Scientific QA Benchmark for Evaluating Foundation Models

Paper • 2411.04075 • Published Nov 6, 2024 • 16
Self-Consistency Preference Optimization

Paper • 2411.04109 • Published Nov 6, 2024 • 19

RL+reason model

RL + Transformer = A General-Purpose Problem Solver

Paper • 2501.14176 • Published Jan 24, 2025 • 28
Towards General-Purpose Model-Free Reinforcement Learning

Paper • 2501.16142 • Published Jan 27, 2025 • 31
SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training

Paper • 2501.17161 • Published Jan 28, 2025 • 125
MaxInfoRL: Boosting exploration in reinforcement learning through information gain maximization

Paper • 2412.12098 • Published Dec 16, 2024 • 4

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