@inproceedings{deusser-etal-2025-resource,
    title = "Resource-Efficient Anonymization of Textual Data via Knowledge Distillation from Large Language Models",
    author = {Deu{\ss}er, Tobias  and
      Hahnb{\"u}ck, Max  and
      Uelwer, Tobias  and
      Zhao, Cong  and
      Bauckhage, Christian  and
      Sifa, Rafet},
    editor = "Rambow, Owen  and
      Wanner, Leo  and
      Apidianaki, Marianna  and
      Al-Khalifa, Hend  and
      Eugenio, Barbara Di  and
      Schockaert, Steven  and
      Darwish, Kareem  and
      Agarwal, Apoorv",
    booktitle = "Proceedings of the 31st International Conference on Computational Linguistics: Industry Track",
    month = jan,
    year = "2025",
    address = "Abu Dhabi, UAE",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/2025.coling-industry.20/",
    pages = "243--250"
}