@inproceedings{liu-etal-2024-para,
    title = "{PARA}: Parameter-Efficient Fine-tuning with Prompt-Aware Representation Adjustment",
    author = "Liu, Zequan  and
      Zhao, Yi  and
      Tan, Ming  and
      Zhu, Wei  and
      Tian, Aaron Xuxiang",
    editor = "Dernoncourt, Franck  and
      Preo{\c{t}}iuc-Pietro, Daniel  and
      Shimorina, Anastasia",
    booktitle = "Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: Industry Track",
    month = nov,
    year = "2024",
    address = "Miami, Florida, US",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/add-emnlp-2024-awards/2024.emnlp-industry.55/",
    doi = "10.18653/v1/2024.emnlp-industry.55",
    pages = "728--737"
}