# Inseq: An Interpretability Toolkit for Sequence Generation Models

> Research article (Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), 2023) · cited 27× · AI/ML

**Wikidata**: [openalex:W4385570354](https://www.wikidata.org/wiki/openalex:W4385570354)  
**Source**: https://4ort.xyz/entity/inseq-an-interpretability-toolkit-for-sequence-generation-models
