Author

Shi-Jie Chen

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#machine learning Conference Jun 2025

AutoSDT: Scaling Data-Driven Discovery Tasks Toward Open Co-Scientists

This work presents AutoSDT, an automatic pipeline that collects high-quality coding tasks in real-world data-driven discovery workflows and is the only automatically collected and the largest open dataset for data-driven scientific discovery.

Yifei Li, Hanane Nour Moussa, Ziru Chen et al. · Conference on Empirical Meth... · 11 citations · ⚡1

#artificial intelligence Preprint Sep 2026

DualSQL: Text-to-SQL with Multi-Agent Reinforcement Learning

This work proposes DualSQL, a new Text-to-SQL system consisting of two agents powered by a single model backbone, enabling joint optimization through a robust multi-agent reinforcement learning (RL) framework, and introduces a new SQL correctness metric, robust execution match (REX), to more accurately judge SQL correc...

Shi-Jie Chen, Yu Gan, Yeounoh Chung et al. · 0 citations