Daria Galimzianova

MWS AI, MBZUAI Correspondence: g.arshinov@mts.ai 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 low-code API. OpenAutoNLU source code is available here 111https://github.com/mts-ai/OpenAutoNLU