@inproceedings{nikolaev-etal-2026-deeppavlov,
    title = "{D}eep{P}avlov Strikes Back: A Toolkit for Improving {LLM} Reliability and Trustworthiness",
    author = "Nikolaev, Evgenii  and
      Ionov, Timur  and
      Korzanova, Anna  and
      Konovalov, Vasily  and
      Savkin, Maksim",
    editor = "Croce, Danilo  and
      Leidner, Jochen  and
      Moosavi, Nafise Sadat",
    booktitle = "Proceedings of the 19th Conference of the {E}uropean Chapter of the {A}ssociation for {C}omputational {L}inguistics (Volume 3: System Demonstrations)",
    month = mar,
    year = "2026",
    address = "Rabat, Marocco",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-eacl/2026.eacl-demo.2/",
    pages = "21--32",
    ISBN = "979-8-89176-382-1",
    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."
}