@inproceedings{cyberey-etal-2025-prevalent,
    title = "Do Prevalent Bias Metrics Capture Allocational Harms from {LLM}s?",
    author = "Cyberey, Hannah  and
      Ji, Yangfeng  and
      Evans, David",
    editor = "Drozd, Aleksandr  and
      Sedoc, Jo{\~a}o  and
      Tafreshi, Shabnam  and
      Akula, Arjun  and
      Shu, Raphael",
    booktitle = "The Sixth Workshop on Insights from Negative Results in NLP",
    month = may,
    year = "2025",
    address = "Albuquerque, New Mexico",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/fix-sig-urls/2025.insights-1.5/",
    pages = "34--45",
    ISBN = "979-8-89176-240-4"
}