English

OpenAutoNLU: Open Source AutoML Library for NLU

Computation and Language 2026-03-03 v1 Machine Learning

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 https://openautonlu.dev.

Keywords

Cite

@article{arxiv.2603.01824,
  title  = {OpenAutoNLU: Open Source AutoML Library for NLU},
  author = {Grigory Arshinov and Aleksandr Boriskin and Sergey Senichev and Ayaz Zaripov and Daria Galimzianova and Daniil Karpov and Leonid Sanochkin},
  journal= {arXiv preprint arXiv:2603.01824},
  year   = {2026}
}
R2 v1 2026-07-01T10:59:10.142Z