@inproceedings{zhu-etal-2025-taebench,
    title = "{T}ae{B}ench: Improving Quality of Toxic Adversarial Examples",
    author = "Zhu, Jennifer  and
      Bespalov, Dmitriy  and
      You, Liwen  and
      Kulkarni, Ninad  and
      Qi, Yanjun",
    editor = "Chen, Weizhu  and
      Yang, Yi  and
      Kachuee, Mohammad  and
      Fu, Xue-Yong",
    booktitle = "Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 3: Industry Track)",
    month = apr,
    year = "2025",
    address = "Albuquerque, New Mexico",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/fix-sig-urls/2025.naacl-industry.21/",
    pages = "251--265",
    ISBN = "979-8-89176-194-0"
}