@inproceedings{aksenov-etal-2024-linear,
    title = "Linear Transformers with Learnable Kernel Functions are Better In-Context Models",
    author = "Aksenov, Yaroslav  and
      Balagansky, Nikita  and
      Lo Cicero Vaina, Sofia  and
      Shaposhnikov, Boris  and
      Gorbatovski, Alexey  and
      Gavrilov, Daniil",
    editor = "Ku, Lun-Wei  and
      Martins, Andre  and
      Srikumar, Vivek",
    booktitle = "Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
    month = aug,
    year = "2024",
    address = "Bangkok, Thailand",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/2024.acl-long.518/",
    doi = "10.18653/v1/2024.acl-long.518",
    pages = "9584--9597"
}