AutoIntent: AutoML for Text Classification

Ilya Alexeev, Solomatin Roman, Darina Rustamova, Denis Kuznetsov

AutoIntent: AutoML for Text Classification: 23 upvotes on Hugging Face Daily Papers, #7 of 35 papers on 2025-09-26. Day-by-day upvote history. It lost 14 votes when the Hub removed votes in bulk.

AutoIntent is an automated machine learning tool for text classification tasks. Unlike existing solutions, AutoIntent offers end-to-end automation with embedding model selection, classifier optimization, and decision threshold tuning, all within a modular, sklearn-like interface. The framework is designed to support multi-label classification and out-of-scope detection. AutoIntent demonstrates superior performance compared to existing AutoML tools on standard intent classification datasets and enables users to balance effectiveness and resource consumption.

Paper page on Hugging Face · arXiv

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