**摘要**
Large Language Models (LLMs) demonstrate strong capabilities for solving scientific and mathematical problems, yet they struggle to produce valid, challenging, and novel problems - an essential component for advancing LLM training and enabling autonomous scientific research. Existing problem generation approaches either depend on expensive human expert involvement or adopt naive self-play paradigm
👤 作者: Yuhang Lai, Jiazhan Feng, Yee Whye Teh, Ning Miao

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🔗 **[Verifier-Backed Hard Problem Generation for Mathematical Reasoning](https://arxiv.org/abs/2605.06660v1)**

> Verifier-Backed Hard Problem Generation for Mathematical Reasoning
🏷️ 来源: ArXiv cs.AI
⏱️ 2026-05-09 08:11