Papers

• Uncertainty-Based Methods for Automated Process Reward Data Construction and Output Aggregation in Mathematical Reasoning (2025)
  Jiuzhou Han et al.
  1.28
• Foundational Automatic Evaluators: Scaling Multi-Task Generative Evaluator Training for Reasoning-Centric Domains (2025)
  Austin Xu et al.
  1.28
• Large Language Models as Analogical Reasoners (2023)
  Michihiro Yasunaga et al.
  —
• Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models (2023)
  Avi Singh et al.
  —
• AutoMathText: Autonomous Data Selection with Language Models for Mathematical Texts (2024)
  Yifan Zhang et al.
  —
• Building Math Agents with Multi-Turn Iterative Preference Learning (2024)
  Wei Xiong et al.
  —