@inproceedings{campos-etal-2023-quick,
    title = "Quick Dense Retrievers Consume {KALE}: Post Training {K}ullback{L}eibler Alignment of Embeddings for Asymmetrical dual encoders",
    author = "Campos, Daniel  and
      Magnani, Alessandro  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/jlcl-multiple-ingestion/2023.sustainlp-1.4/",
    doi = "10.18653/v1/2023.sustainlp-1.4",
    pages = "59--77"
}