@inproceedings{louie-etal-2024-roleplay,
    title = "Roleplay-doh: Enabling Domain-Experts to Create {LLM}-simulated Patients via Eliciting and Adhering to Principles",
    author = "Louie, Ryan  and
      Nandi, Ananjan  and
      Fang, William  and
      Chang, Cheng  and
      Brunskill, Emma  and
      Yang, Diyi",
    editor = "Al-Onaizan, Yaser  and
      Bansal, Mohit  and
      Chen, Yun-Nung",
    booktitle = "Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing",
    month = nov,
    year = "2024",
    address = "Miami, Florida, USA",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/add-emnlp-2024-awards/2024.emnlp-main.591/",
    doi = "10.18653/v1/2024.emnlp-main.591",
    pages = "10570--10603"
}