Agentic Search Spaces for Tabular Machine Learning
This study suggests that LLM agents can provide practical value for tabular ML by expanding the design space, and suggests that the two strongest agentic ensembles surpass the best AutoGluon ensemble of conventional models.
Renat Sergazinov, Artem Chistyakov, Sergey Pankevich et al.
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