Code2Math: Can Your Code Agent Effectively Evolve Math Problems Through Exploration? 事件

Code2Math: Can Your Code Agent Effectively Evolve Math Problems Through Exploration? arXiv:2603.03202v3 Announce Type: replace Abstract: As large language models (LLMs) advance their mathematical capabilities toward the IMO and research level, the scarcity of challenging, high-quality problems has become a significant bottleneck for training, evaluation and self-evolution of LLMs. Simultaneously, recent code agents have demonstrated sophisticated skills in agentic coding and reasoning, suggesti