@inproceedings{wrobel-2025-prompt,
    title = "Prompt-Based Gender-Inclusive {P}olish-{E}nglish Translation Using Bielik Large Language Model with Structured Output",
    author = "Wr{\'o}bel, Krzysztof",
    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/more-markup/2025.poleval-main.8/",
    pages = "54--59",
    abstract = "We present a simple yet effective approach to gender-inclusive Polish$\leftrightarrow$English translation for the PolEval 2025 Task 2 shared task. Without any fine-tuning, our solution leverages the Bielik 11B v2.6 model with carefully engineered system prompts and structured output, achieving a chrF score of 84.03 and securing first place in the translation subtask. The approach demonstrates that prompt engineering with few-shot examples and structured output can effectively handle the complex task of generating and removing gender-inclusive forms with the inclusive asterisk notation in Polish text. Per-direction analysis reveals stronger performance on PL$\rightarrow$EN (chrF 88.24) compared to EN$\rightarrow$PL (chrF 79.88), highlighting the asymmetric difficulty of adding versus removing inclusive forms."
}