@inproceedings{jia-etal-2026-castle,
    title = "{CASTLE}: A Comprehensive Benchmark for Evaluating Student-Tailored Personalized Safety in Large Language Models",
    author = "Jia, Rui  and
      Lan, Ruiyi  and
      Liu, Fengrui  and
      Dai, Zhongxiang  and
      Jiang, Bo  and
      Shao, Jing  and
      Chen, Jingyuan  and
      Xu, Guandong  and
      Wu, Fei  and
      Zhang, Min",
    editor = "Lee, Hung-Yi  and
      Dev, Sunipa  and
      Li, Jessy  and
      Elliott, Desmond",
    booktitle = "Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing",
    month = oct,
    year = "2026",
    address = "Budapest, Hungary",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2026.emnlp-main.1008/",
    pages = "23188--23222",
    ISBN = "979-8-89176-459-0"
}