@inproceedings{zhao-etal-2026-cleansing,
    title = "Cleansing Fine-Tuning Data to Mitigate Backdoors in {LLM}s via the Base Model{'}s Inherent Generative Abilities",
    author = "Zhao, Qi  and
      Elster, Yan-Keon  and
      Wressnegger, Christian",
    editor = "Zhang, Yue  and
      Xu, Ruifeng  and
      Purwarianti, Ayu  and
      Rong, Tong  and
      Suzuki, Jun",
    booktitle = "Findings of the {A}ssociation for {C}omputational {L}inguistics: {IJCNLP}-{AACL} 2026",
    month = nov,
    year = "2026",
    address = "Hengqin, China",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2026.findings-aacl.248/",
    pages = "4866--4886",
    ISBN = "979-8-89176-444-6"
}