@inproceedings{popovic-etal-2025-buy,
    title = "Did {I} (she) or {I} (he) buy this? Or rather {I} (she/he)? Towards first-person gender neutral translation by {LLM}s",
    author = {Popovi{\'c}, Maja  and
      Lapshinova-Koltunski, Ekaterina  and
      G{\"o}ldner, Anastasiia},
    editor = "Hackenbuchner, Jani{\c{c}}a  and
      Bentivogli, Luisa  and
      Daems, Joke  and
      Manna, Chiara  and
      Savoldi, Beatrice  and
      Vanmassenhove, Eva",
    booktitle = "Proceedings of the 3rd Workshop on Gender-Inclusive Translation Technologies (GITT 2025)",
    month = jun,
    year = "2025",
    address = "Geneva, Switzerland",
    publisher = "European Association for Machine Translation",
    url = "https://preview.aclanthology.org/mtsummit-25-ingestion/2025.gitt-1.4/",
    pages = "64--73",
    ISBN = "978-2-9701897-4-9",
    abstract = "This paper presents an analysis of gender in first-person mentions translated from English into two Slavic languages with the help of three LLMs and two different prompts. We explore if LLMs are able to generate Amazon product reviews with gender neutral first person forms. Apart from the overall question about the ability to produce gender neutral translations, we look into the impact of a prompt with a specific instruction which is supposed to reduce the gender bias in LLMs output translations. Our results show that although we are able to achieve a reduction in gender bias, our specific prompt cause also a number of errors. Analysing those emerging problems qualitatively, we formulate suggestions that could be helpful for the development of better prompting strategies in the future work on gender bias reduction."
}