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cs.AI2026
AdaPRA: Process Reward Agents with Adaptive Rubrics for Data Science
Atharva Naik, Vivek Chari, Pol Llado +5
Data science agents can automate end-to-end machine learning workflows, yet they remain far from competitive on human leaderboards. Agents make process errors such as insufficient…
cs.AI2025
An Empirical Study on Strong-Weak Model Collaboration for Repo-level Code Generation
Shubham Gandhi, Atharva Naik, Yiqing Xie +1
We study cost-efficient collaboration between strong and weak language models for repository-level code generation, where the weak model handles simpler tasks at lower cost, and th…