Papers

• Light-R1: Curriculum SFT, DPO and RL for Long COT from Scratch and Beyond (2025)
  Liang Wen et al.
  6.07
• rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking (2025)
  Xinyu Guan et al.
  6.06
• LLMs Are Already Good Tutors: Training-Free Prompt Optimization for Pedagogical Math Tutoring (2026)
  Unggi Lee et al.
  4.27
• Selective Self-to-Supervised Fine-Tuning for Generalization in Large Language Models (2025)
  Sonam Gupta et al.
  4.25
• PluraMath: Extending Mathematical Reasoning Evaluation Beyond High-Resource Languages (2026)
  Daryna Dementieva et al.
  3.51
• TREK: Distill to Explore, Reinforce to Refine (2026)
  Yuanda Xu et al.
  2.00
• EpiCaR: Knowing What You Don't Know Matters for Better Reasoning in LLMs (2026)
  Jewon Yeom et al.
  1.94
• Mid-Training with Self-Generated Data Improves Reinforcement Learning in Language Models (2026)
  Aswin RRV et al.
  1.89
• Program of Thoughts for Financial Reasoning: Leveraging Dynamic In-Context Examples and Generative Retrieval (2025)
  Subhendu Khatuya et al.
  1.50
• MathClean: A Benchmark for Synthetic Mathematical Data Cleaning (2025)
  Hao Liang et al.
  1.06
• PseudoReasoner: Leveraging Pseudo Labels for Commonsense Knowledge Base Population (2022)
  Tianqing Fang et al.
  —
• Exploring Equation as a Better Intermediate Meaning Representation for Numerical Reasoning (2023)
  Dingzirui Wang et al.
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• OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset (2024)
  Shubham Toshniwal et al.
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• Orca-Math: Unlocking the potential of SLMs in Grade School Math (2024)
  Arindam Mitra et al.
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• DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models (2024)
  Zhihong Shao et al.
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• Math-LLaVA: Bootstrapping Mathematical Reasoning for Multimodal Large Language Models (2024)
  Wenhao Shi et al.
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• AceMath: Advancing Frontier Math Reasoning with Post-Training and Reward Modeling (2024)
  Zihan Liu et al.
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