@inproceedings{pissarra-etal-2024-unlocking,
    title = "Unlocking the Potential of Large Language Models for Clinical Text Anonymization: A Comparative Study",
    author = "Pissarra, David  and
      Curioso, Isabel  and
      Alveira, Jo{\~a}o  and
      Pereira, Duarte  and
      Ribeiro, Bruno  and
      Souper, Tom{\'a}s  and
      Gomes, Vasco  and
      Carreiro, Andr{\'e}  and
      Rolla, Vitor",
    editor = "Habernal, Ivan  and
      Ghanavati, Sepideh  and
      Ravichander, Abhilasha  and
      Jain, Vijayanta  and
      Thaine, Patricia  and
      Igamberdiev, Timour  and
      Mireshghallah, Niloofar  and
      Feyisetan, Oluwaseyi",
    booktitle = "Proceedings of the Fifth Workshop on Privacy in Natural Language Processing",
    month = aug,
    year = "2024",
    address = "Bangkok, Thailand",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/add-emnlp-2024-awards/2024.privatenlp-1.8/",
    pages = "74--84"
}