@inproceedings{zhao-etal-2022-lmturk,
    title = "{LMT}urk: Few-Shot Learners as Crowdsourcing Workers in a Language-Model-as-a-Service Framework",
    author = "Zhao, Mengjie  and
      Mi, Fei  and
      Wang, Yasheng  and
      Li, Minglei  and
      Jiang, Xin  and
      Liu, Qun  and
      Schuetze, Hinrich",
    editor = "Carpuat, Marine  and
      de Marneffe, Marie-Catherine  and
      Meza Ruiz, Ivan Vladimir",
    booktitle = "Findings of the Association for Computational Linguistics: NAACL 2022",
    month = jul,
    year = "2022",
    address = "Seattle, United States",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/add-emnlp-2024-awards/2022.findings-naacl.51/",
    doi = "10.18653/v1/2022.findings-naacl.51",
    pages = "675--692"
}