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Autodata: An agentic data scientist to create high quality synthetic data

Ilia Kulikov, Chenxi Whitehouse, Tianhao Wu, Yixin Nie, Swarnadeep Saha, Eryk Helenowski · Jun 24, 2026

Citations: 0

Match reason: Matched by broad semantic/index fallback.

Score: 35% Sparse protocol signal Freshness: Hot Status: Ready
MathLaw
  • We introduce Autodata, a general method that enables AI agents to act as data scientists who build high quality training and evaluation data.
  • We show how to train (meta-optimize) such a data scientist agent, so that it learns to create even stronger data.
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