@inproceedings{pan-etal-2025-alinfik,
    title = "{AL}in{F}i{K}: Learning to Approximate Linearized Future Influence Kernel for Scalable Third-Parity {LLM} Data Valuation",
    author = "Pan, Yanzhou  and
      Lin, Huawei  and
      Ran, Yide  and
      Chen, Jiamin  and
      Yu, Xiaodong  and
      Zhao, Weijie  and
      Zhang, Denghui  and
      Xu, Zhaozhuo",
    editor = "Chiruzzo, Luis  and
      Ritter, Alan  and
      Wang, Lu",
    booktitle = "Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)",
    month = apr,
    year = "2025",
    address = "Albuquerque, New Mexico",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/Ingest-2025-COMPUTEL/2025.naacl-long.589/",
    pages = "11756--11771",
    ISBN = "979-8-89176-189-6"
}