DAPO: An Open-Source LLM Reinforcement Learning System at Scale
Paper • 2503.14476 • Published • 145
Papers + RL/Reasoning
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VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks
Paper • 2504.05118 • Published • 26 -
SQL-R1: Training Natural Language to SQL Reasoning Model By Reinforcement Learning
Paper • 2504.08600 • Published • 33 -
A Minimalist Approach to LLM Reasoning: from Rejection Sampling to Reinforce
Paper • 2504.11343 • Published • 20 -
OTC: Optimal Tool Calls via Reinforcement Learning
Paper • 2504.14870 • Published • 35 -
DianJin-R1: Evaluating and Enhancing Financial Reasoning in Large Language Models
Paper • 2504.15716 • Published • 12 -
WebThinker: Empowering Large Reasoning Models with Deep Research Capability
Paper • 2504.21776 • Published • 59 -
DeepCritic: Deliberate Critique with Large Language Models
Paper • 2505.00662 • Published • 54 -
MiMo: Unlocking the Reasoning Potential of Language Model -- From Pretraining to Posttraining
Paper • 2505.07608 • Published • 82 -
Insights into DeepSeek-V3: Scaling Challenges and Reflections on Hardware for AI Architectures
Paper • 2505.09343 • Published • 76 -
CPGD: Toward Stable Rule-based Reinforcement Learning for Language Models
Paper • 2505.12504 • Published • 24 -
AdaCoT: Pareto-Optimal Adaptive Chain-of-Thought Triggering via Reinforcement Learning
Paper • 2505.11896 • Published • 58 -
Reward Reasoning Model
Paper • 2505.14674 • Published • 37 -
One-RL-to-See-Them-All/Orsta-Data-47k
Updated • 352 • 17 -
One RL to See Them All: Visual Triple Unified Reinforcement Learning
Paper • 2505.18129 • Published • 62 -
RL with KL penalties is better viewed as Bayesian inference
Paper • 2205.11275 • Published • 1 -
Asymptotics of Language Model Alignment
Paper • 2404.01730 • Published • 1 -
VerIPO: Cultivating Long Reasoning in Video-LLMs via Verifier-Gudied Iterative Policy Optimization
Paper • 2505.19000 • Published • 42 -
Soft Thinking: Unlocking the Reasoning Potential of LLMs in Continuous Concept Space
Paper • 2505.15778 • Published • 19 -
ZeroGUI: Automating Online GUI Learning at Zero Human Cost
Paper • 2505.23762 • Published • 45 -
Table-R1: Inference-Time Scaling for Table Reasoning
Paper • 2505.23621 • Published • 93 -
Reinforcement Pre-Training
Paper • 2506.08007 • Published • 265 -
Comment on The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity
Paper • 2506.09250 • Published • 27 -
Magistral
Paper • 2506.10910 • Published • 67 -
Does Math Reasoning Improve General LLM Capabilities? Understanding Transferability of LLM Reasoning
Paper • 2507.00432 • Published • 79 -
AutoTriton: Automatic Triton Programming with Reinforcement Learning in LLMs
Paper • 2507.05687 • Published • 31 -
Reasoning or Memorization? Unreliable Results of Reinforcement Learning Due to Data Contamination
Paper • 2507.10532 • Published • 90 -
Towards Agentic RAG with Deep Reasoning: A Survey of RAG-Reasoning Systems in LLMs
Paper • 2507.09477 • Published • 88 -
osmosis-ai/Osmosis-Apply-1.7B
Text Generation • 2B • Updated • 17 • 95 -
Geometric-Mean Policy Optimization
Paper • 2507.20673 • Published • 32 -
GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models
Paper • 2508.06471 • Published • 207 -
Part I: Tricks or Traps? A Deep Dive into RL for LLM Reasoning
Paper • 2508.08221 • Published • 50 -
Training-Free Group Relative Policy Optimization
Paper • 2510.08191 • Published • 45 -
The Art of Scaling Reinforcement Learning Compute for LLMs
Paper • 2510.13786 • Published • 33 -
Stabilizing Reinforcement Learning with LLMs: Formulation and Practices
Paper • 2512.01374 • Published • 106 -
Teaching Models to Teach Themselves: Reasoning at the Edge of Learnability
Paper • 2601.18778 • Published • 41 -
Can Aha Moments Be Fake? Identifying True and Decorative Thinking Steps in Chain-of-Thought
Paper • 2510.24941 • Published • 4