WinoQueer: A Community-in-the-Loop Benchmark for Anti-LGBTQ+ Bias in Large Language Models

Virginia K. Felkner, Ho-Chun Herbert Chang, Eugene Jang, Jonathan May. WinoQueer: A Community-in-the-Loop Benchmark for Anti-LGBTQ+ Bias in Large Language Models. In Anna Rogers, Jordan L. Boyd-Graber, Naoaki Okazaki, editors, Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2023, Toronto, Canada, July 9-14, 2023. pages 9126-9140, Association for Computational Linguistics, 2023. [doi]

@inproceedings{FelknerCJM23,
  title = {WinoQueer: A Community-in-the-Loop Benchmark for Anti-LGBTQ+ Bias in Large Language Models},
  author = {Virginia K. Felkner and Ho-Chun Herbert Chang and Eugene Jang and Jonathan May},
  year = {2023},
  url = {https://aclanthology.org/2023.acl-long.507},
  researchr = {https://researchr.org/publication/FelknerCJM23},
  cites = {0},
  citedby = {0},
  pages = {9126-9140},
  booktitle = {Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2023, Toronto, Canada, July 9-14, 2023},
  editor = {Anna Rogers and Jordan L. Boyd-Graber and Naoaki Okazaki},
  publisher = {Association for Computational Linguistics},
  isbn = {978-1-959429-72-2},
}