A framework that uses LLM suggestions, retrieved past experience, and adaptive triggering to speed up RL search for data preprocessing pipelines, showing improved accuracy on 18 tabular datasets.
Evaluation of a tree-based pipeline optimization tool for automating data science
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LLaPipe: LLM-Guided Reinforcement Learning for Automated Data Preparation Pipeline Construction
A framework that uses LLM suggestions, retrieved past experience, and adaptive triggering to speed up RL search for data preprocessing pipelines, showing improved accuracy on 18 tabular datasets.