OpenAI o1 System Card
Paper
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2412.16720
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Published
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34
reasoning-agentic
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LearnLM: Improving Gemini for Learning
Paper • 2412.16429 • Published • 22 -
NILE: Internal Consistency Alignment in Large Language Models
Paper • 2412.16686 • Published • 8 -
Offline Reinforcement Learning for LLM Multi-Step Reasoning
Paper • 2412.16145 • Published • 39 -
Qwen2.5 Technical Report
Paper • 2412.15115 • Published • 368 -
AceMath: Advancing Frontier Math Reasoning with Post-Training and Reward Modeling
Paper • 2412.15084 • Published • 13 -
Xmodel-2 Technical Report
Paper • 2412.19638 • Published • 27 -
Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models
Paper • 2503.16419 • Published • 75 -
Reinforcement Learning for Reasoning in Small LLMs: What Works and What Doesn't
Paper • 2503.16219 • Published • 51 -
AIMO-2 Winning Solution: Building State-of-the-Art Mathematical Reasoning Models with OpenMathReasoning dataset
Paper • 2504.16891 • Published • 22 -
LLMs are Greedy Agents: Effects of RL Fine-tuning on Decision-Making Abilities
Paper • 2504.16078 • Published • 20 -
ToolRL: Reward is All Tool Learning Needs
Paper • 2504.13958 • Published • 44 -
ReTool: Reinforcement Learning for Strategic Tool Use in LLMs
Paper • 2504.11536 • Published • 60 -
DeepMath-103K: A Large-Scale, Challenging, Decontaminated, and Verifiable Mathematical Dataset for Advancing Reasoning
Paper • 2504.11456 • Published • 13 -
Reasoning Models Can Be Effective Without Thinking
Paper • 2504.09858 • Published • 12 -
AM-Thinking-v1: Advancing the Frontier of Reasoning at 32B Scale
Paper • 2505.08311 • Published • 17 -
Are Reasoning Models More Prone to Hallucination?
Paper • 2505.23646 • Published • 24 -
ATLAS: Learning to Optimally Memorize the Context at Test Time
Paper • 2505.23735 • Published • 23 -
Beyond Markovian: Reflective Exploration via Bayes-Adaptive RL for LLM Reasoning
Paper • 2505.20561 • Published • 7