@inproceedings{guo-etal-2024-adaptable,
    title = "Adaptable Moral Stances of Large Language Models on Sexist Content: Implications for Society and Gender Discourse",
    author = "Guo, Rongchen  and
      Nejadgholi, Isar  and
      Dawkins, Hillary  and
      Fraser, Kathleen C.  and
      Kiritchenko, Svetlana",
    editor = "Al-Onaizan, Yaser  and
      Bansal, Mohit  and
      Chen, Yun-Nung",
    booktitle = "Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing",
    month = nov,
    year = "2024",
    address = "Miami, Florida, USA",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2024.emnlp-main.1090/",
    doi = "10.18653/v1/2024.emnlp-main.1090",
    pages = "19548--19564"
}