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OpenAutoNLU: Open Source AutoML Library for NLU

Published 2 Mar 2026 in cs.CL and cs.LG | (2603.01824v1)

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 LLM features, all within a minimal lowcode API. The demo app is accessible here https://openautonlu.dev.

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