- Anthology ID:
- 2024.findings-acl.936
- Volume:
- Findings of the Association for Computational Linguistics: ACL 2024
- Month:
- August
- Year:
- 2024
- Address:
- Bangkok, Thailand
- Editors:
- Lun-Wei Ku, Andre Martins, Vivek Srikumar
- Venue:
- Findings
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 15820–15839
- Language:
- URL:
- https://preview.aclanthology.org/add_missing_videos/2024.findings-acl.936/
- DOI:
- 10.18653/v1/2024.findings-acl.936
- Cite (ACL):
- Dohyun Lee, Daniel Rim, Minseok Choi, and Jaegul Choo. 2024. Protecting Privacy Through Approximating Optimal Parameters for Sequence Unlearning in Language Models. In Findings of the Association for Computational Linguistics: ACL 2024, pages 15820–15839, Bangkok, Thailand. Association for Computational Linguistics.
- Cite (Informal):
- Protecting Privacy Through Approximating Optimal Parameters for Sequence Unlearning in Language Models (Lee et al., Findings 2024)
- PDF:
- https://preview.aclanthology.org/add_missing_videos/2024.findings-acl.936.pdf