3 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…
cs.CR2025
Automating Function-Level TARA for Automotive Full-Lifecycle Security
Yuqiao Yang, Yongzhao Zhang, Wenhao Liu +9
As modern vehicles evolve into intelligent and connected systems, their growing complexity introduces significant cybersecurity risks. Threat Analysis and Risk Assessment (TARA) ha…