Published: 29 Aug 2025, Last Modified: 04 Sept 2025AutoML 2025 Non-Archival Content TrackEveryoneRevisionsBibTeXCC BY 4.0
Submission Type:Short paper
Tldr:We evaluate how well large language models can autonomously generate complete, executable machine learning pipelines for a real-world classification task.