[2603.01824] OpenAutoNLU: Open Source AutoML Library for NLU

Computer Science > Computation and Language arXiv:2603.01824 (cs) [Submitted on 2 Mar 2026] Title:OpenAutoNLU: Open Source AutoML Library for NLU Authors:Grigory Arshinov, Aleksandr Boriskin, Sergey Senichev, Ayaz Zaripov, Daria Galimzianova, Daniil Karpov, Leonid Sanochkin View a PDF of the paper titled OpenAutoNLU: Open Source AutoML Library for NLU, by Grigory Arshinov and 6 other authors View PDF HTML (experimental) Abstract:OpenAutoNLU is an open-source automated machine learning library for natural language understanding (NLU) tasks, covering both text classification and named entity recognition (NER). Unlike existing solutions, we introduce data-aware training regime selection that requires no manual configuration from the user. The library also provides integrated data quality diagnostics, configurable out-of-distribution (OOD) detection, and large language model (LLM) features, all within a minimal lowcode API. The demo app is accessible here this https URL. Subjects: Computation and Language (cs.CL); Machine Learning (cs.LG) Cite as: arXiv:2603.01824 [cs.CL]   (or arXiv:2603.01824v1 [cs.CL] for this version)   https://doi.org/10.48550/arXiv.2603.01824 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Aleksandr Boriskin [view email] [v1] Mon, 2 Mar 2026 12:56:54 UTC (290 KB) Full-text links: Access Paper: View a PDF of the paper titled OpenAutoNLU: Open Source AutoML Library for NLU, by Grigory Arshinov and 6 other a...