2 papers
cs.AI2026
Mask-Proof: An LLM-based Automated Data Curation Pipeline on Mathematical Proofs
Jierui Zhang, Siyuan Tan, Xinhang Li +8
Large language models (LLMs) are increasingly capable of mathematical problem solving and can even assist with research-level proofs, yet we still lack a scalable and reproducible…
cs.CL2025
STORM-BORN: A Challenging Mathematical Derivations Dataset Curated via a Human-in-the-Loop Multi-Agent Framework
Wenhao Liu, Zhenyi Lu, Xinyu Hu +13
High-quality math datasets are crucial for advancing the reasoning abilities of large language models (LLMs). However, existing datasets often suffer from three key issues: outdate…