A 15-participant within-subjects study claims LLM-driven AutoML outperforms traditional AutoML on speed, accuracy, and usability, though supporting data are not provided and several numbers conflict.
G., Soares, C., and Vilalta, R
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Evaluation of Large Language Model-Driven AutoML in Data and Model Management from Human-Centered Perspective
A 15-participant within-subjects study claims LLM-driven AutoML outperforms traditional AutoML on speed, accuracy, and usability, though supporting data are not provided and several numbers conflict.