Author

Ali Payani

2 papers indexed here

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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

#natural language process... Preprint Aug 2026

CAST: Critique-Aware Supervision for Training Reliable Long-Horizon Tool-Calling Agents

CAST, a critique-aware training framework that converts sparse task outcomes into action-level supervision for critique learning and policy optimization, is presented, demonstrating that critique-aware training improves the robustness of LLM agents in realistic dynamic environments.

Amir Saeidi, Zeng Zhang, Rishi Singh et al. · 1 citation