@inproceedings{campos-zhai-2023-asymmetry,
    title = "To Asymmetry and Beyond: Structured Pruning of Sequence to Sequence Models for Improved Inference Efficiency",
    author = "Campos, Daniel  and
      Zhai, Chengxiang",
    editor = "Sadat Moosavi, Nafise  and
      Gurevych, Iryna  and
      Hou, Yufang  and
      Kim, Gyuwan  and
      Kim, Young Jin  and
      Schuster, Tal  and
      Agrawal, Ameeta",
    booktitle = "Proceedings of the Fourth Workshop on Simple and Efficient Natural Language Processing (SustaiNLP)",
    month = jul,
    year = "2023",
    address = "Toronto, Canada (Hybrid)",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/moar-dois/2023.sustainlp-1.6/",
    doi = "10.18653/v1/2023.sustainlp-1.6",
    pages = "91--109"
}