@inproceedings{zhang-etal-2026-locate,
    title = "Locate, Steer, and Improve: A Practical Survey of Actionable Mechanistic Interpretability in Large Language Models",
    author = "Zhang, Hengyuan  and
      Zhang, Zhihao  and
      Nie, Ercong  and
      Wang, Mingyang  and
      Su, Zunhai  and
      Wang, Yiwei  and
      Wang, Qianli  and
      Yuan, Shuzhou  and
      Duan, Xufeng  and
      Xue, Qibo  and
      Yu, Zeping  and
      Shang, Chenming  and
      Liang, Xiao  and
      Xiong, Jing  and
      Shen, Hui  and
      Tao, Chaofan  and
      Liu, Zhengwu  and
      Jin, Senjie  and
      Xi, Zhiheng  and
      Zhang, Dongdong  and
      Ananiadou, Sophia  and
      Gui, Tao  and
      Xie, Ruobing  and
      So, Hayden Kwok-Hay  and
      Schuetze, Hinrich  and
      Huang, Xuanjing  and
      Zhang, Qi  and
      Wong, Ngai",
    editor = "Liakata, Maria  and
      Moreira, Viviane P.  and
      Zhang, Jiajun  and
      Jurgens, David",
    booktitle = "Findings of the {A}ssociation for {C}omputational {L}inguistics: {ACL} 2026",
    month = jul,
    year = "2026",
    address = "San Diego, California, United States",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-acl/2026.findings-acl.502/",
    pages = "10317--10362",
    ISBN = "979-8-89176-395-1"
}