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    <abstract>This paper introduces DeepPavlov 1.1, a new version of an open-source library for natural language processing (NLP). DeepPavlov 1.1 supports both traditional NLP tasks (like named entity recognition, sentiment classification) and new tasks needed to enhance LLMs truthfulness and reliability. These tools include: a hallucination detection model, an evergreen question classifier, and a toxicity classifier. The library is easy to use, flexible, and works with many languages. It is designed to help researchers and developers build better, safer AI systems that use language. It is publicly available under the Apache 2.0 license and includes access to an interactive online demo.</abstract>
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%0 Conference Proceedings
%T DeepPavlov Strikes Back: A Toolkit for Improving LLM Reliability and Trustworthiness
%A Nikolaev, Evgenii
%A Ionov, Timur
%A Korzanova, Anna
%A Konovalov, Vasily
%A Savkin, Maksim
%Y Croce, Danilo
%Y Leidner, Jochen
%Y Moosavi, Nafise Sadat
%S Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 3: System Demonstrations)
%D 2026
%8 March
%I Association for Computational Linguistics
%C Rabat, Marocco
%@ 979-8-89176-382-1
%F nikolaev-etal-2026-deeppavlov
%X This paper introduces DeepPavlov 1.1, a new version of an open-source library for natural language processing (NLP). DeepPavlov 1.1 supports both traditional NLP tasks (like named entity recognition, sentiment classification) and new tasks needed to enhance LLMs truthfulness and reliability. These tools include: a hallucination detection model, an evergreen question classifier, and a toxicity classifier. The library is easy to use, flexible, and works with many languages. It is designed to help researchers and developers build better, safer AI systems that use language. It is publicly available under the Apache 2.0 license and includes access to an interactive online demo.
%U https://aclanthology.org/2026.eacl-demo.2/
%P 21-32

Markdown (Informal)

[DeepPavlov Strikes Back: A Toolkit for Improving LLM Reliability and Trustworthiness](https://aclanthology.org/2026.eacl-demo.2/) (Nikolaev et al., EACL 2026)

• DeepPavlov Strikes Back: A Toolkit for Improving LLM Reliability and Trustworthiness (Nikolaev et al., EACL 2026)

ACL

• Evgenii Nikolaev, Timur Ionov, Anna Korzanova, Vasily Konovalov, and Maksim Savkin. 2026. DeepPavlov Strikes Back: A Toolkit for Improving LLM Reliability and Trustworthiness. In Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 3: System Demonstrations), pages 21–32, Rabat, Marocco. Association for Computational Linguistics.