@inproceedings{liu-etal-2023-small,
    title = "Small is the New Big: Pre-finetuned compact models are better for Asynchronous Active Learning",
    author = "Liu, Dantong  and
      Pavani, Kaushik  and
      Dasgupta, Sunny",
    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-1.7/",
    doi = "10.18653/v1/2023.sustainlp-1.7",
    pages = "110--120"
}