@inproceedings{lan-etal-2025-efficient,
    title = "Efficient and Effective Prompt Tuning via Prompt Decomposition and Compressed Outer Product",
    author = "Lan, Pengxiang  and
      Xu, Haoyu  and
      Yang, Enneng  and
      Liang, Yuliang  and
      Guo, Guibing  and
      Zhao, Jianzhe  and
      Wang, Xingwei",
    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/landing_page/2025.naacl-long.225/",
    pages = "4406--4421",
    ISBN = "979-8-89176-189-6"
}