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AdaPRA: Process Reward Agents with Adaptive Rubrics for Data Science

This story is from 2026-10-27. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2610.33245v1 Announce Type: new Abstract: 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 exploration, unsound validation, coding bugs, and poor use of a fixed b…

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  1. 2026-10-27 04:00 · arXiv cs.AI
    AdaPRA: Process Reward Agents with Adaptive Rubrics for Data Science

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