@inproceedings{paszkowska-2025-instruction,
    title = "Instruction fine-tuning using pragmatic layer",
    author = "Paszkowska, Adrianna",
    editor = "Kobyli{\'n}ski, {\L}ukasz  and
      Wr{\'o}blewska, Alina  and
      Ogrodniczuk, Maciej",
    booktitle = "Proceedings of the {P}ol{E}val 2025 Workshop",
    month = nov,
    year = "2025",
    address = "Warsaw",
    publisher = "Institute of Computer Science PAS and Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-paclic/2025.poleval-main.9/",
    pages = "60--65",
    abstract = "The Polish language, like some Slavic and Romance languages, has a masculine-centric bias in its generic forms, leading to frequent use of masculine nouns when referring to women or mixed-gender groups. This presents a linguistic challenge for development of gender-inclusive technologies, addressed in PolEval task 2.This paper presents pragmatic instruction fine-tuning approach, using Low-Rank Adaptation (LoRA) on the pre-trained Polish PLT5 sequence-to-sequence model."
}