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GRACE-DS: a Guarded Reward-guided Agent Correction Environment in Data Science

Tsymbalov, Aleksandr et al.
arXiv (OAI Expanded) · Papers
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computation-and-languagemachine-learning
We introduce GRACE-DS, a Guarded Reward-guided Agent Correction Environment in Data Science for pre-deployment evaluation of LLM-powered AutoML agents. GRACE-DS is a set of evaluation metrics in an isolated environment that can be applied to tabular ML tasks specific to a particular organization. It
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