
Studies how reinforcement learning teaches models to use code for mathematical reasoning, and how this ability scales.
研究强化学习如何让模型自主调用代码进行数学推理,以及这种能力的规模化规律。
Xinji Mai, Haotian Xu, Xing W, Weinong Wang, Yingying Zhang, Wenqiang Zhang. "Agentic RL Scaling Law: Spontaneous Code Execution for Mathematical Problem Solving." NeurIPS 2025. arXiv:2505.07773.