@inproceedings{li-etal-2025-aesbiasbench,
    title = "{A}es{B}ias{B}ench: Evaluating Bias and Alignment in Multimodal Language Models for Personalized Image Aesthetic Assessment",
    author = "Li, Kun  and
      Po, Lai Man  and
      Yang, Hongzheng  and
      Xu, Xuyuan  and
      Liu, Kangcheng  and
      Zhao, Yuzhi",
    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.386/",
    pages = "7618--7631",
    ISBN = "979-8-89176-332-6"
}