@inproceedings{hao-etal-2025-making,
    title = "Making Every Step Effective: Jailbreaking Large Vision-Language Models Through Hierarchical {KV} Equalization",
    author = "Hao, Shuyang  and
      Wang, Yiwei  and
      Hooi, Bryan  and
      Liu, Jun  and
      Chen, Muhao  and
      Huang, Zi  and
      Cai, Yujun",
    editor = "Christodoulopoulos, Christos  and
      Chakraborty, Tanmoy  and
      Rose, Carolyn  and
      Peng, Violet",
    booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2025",
    month = nov,
    year = "2025",
    address = "Suzhou, China",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/author-page-yu-wang-polytechnic/2025.findings-emnlp.618/",
    doi = "10.18653/v1/2025.findings-emnlp.618",
    pages = "11528--11543",
    ISBN = "979-8-89176-335-7"
}