OpenAutoNLU: Open Source AutoML Library for NLU

About

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.

Grigory Arshinov, Aleksandr Boriskin, Sergey Senichev, Ayaz Zaripov, Daria Galimzianova, Daniil Karpov, Leonid Sanochkin · 2026

Related benchmarks

Task	Dataset	Result
Intent Classification	MASSIVE (full)	F1-Macro87.6	5
Intent Classification	SNIPS (full)	F1-Macro92.1	5
Out-of-Distribution Intent Detection	Banking77	F1-Macro91.2	5
Out-of-Distribution Intent Detection	HWU64	F1-Macro89.3	5
Out-of-Distribution Intent Detection	MASSIVE	F1-Macro87.6	5
Out-of-Distribution Intent Detection	SNIPS	F1-Macro92.8	5
Intent Classification	Banking77 (full)	F1-Macro91.2	5
Intent Classification	HWU64 (full)	F1-Macro89	5