@inproceedings{diao-etal-2025-protovqa,
    title = "{P}roto{VQA}: An Adaptable Prototypical Framework for Explainable Fine-Grained Visual Question Answering",
    author = "Diao, Xingjian  and
      Wu, Weiyi  and
      Kong, Keyi  and
      Qing, Peijun  and
      Xu, Xinwen  and
      Cheng, Ming  and
      Vosoughi, Soroush  and
      Gui, Jiang",
    editor = "Christodoulopoulos, Christos  and
      Chakraborty, Tanmoy  and
      Rose, Carolyn  and
      Peng, Violet",
    booktitle = "Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing",
    month = nov,
    year = "2025",
    address = "Suzhou, China",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-emnlp/2025.emnlp-main.54/",
    pages = "1040--1057",
    ISBN = "979-8-89176-332-6"
}