@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://aclanthology.org/2023.sustainlp-1.4",
    doi = "10.18653/v1/2023.sustainlp-1.4",
    pages = "59--77",
}

No abstract found
Campos, Daniel Magnani, Aless ro Zhai, Chengxiang
Quick Dense Retrievers Consume KALE: Post Training KullbackLeibler Alignment of Embeddings for Asymmetrical dual encoders