Comparing Retrieval-Augmentation and Parameter-Efficient Fine-Tuning for Privacy-Preserving Personalization of Large Language Models.
| Anthology ID: | DBLP:conf/ictir/SalemiZ25a |
|---|---|
| Volume: | Proceedings of the 2025 International ACM SIGIR Conference on Innovative Concepts and Theories in Information Retrieval, ICTIR 2025, Padua, Italy, 18 July 2025 |
| Year: | 2025 |
| Venue: | International Conference on the Theory of Information Retrieval (ICTIR) |
| Publisher: | ACM |
| Pages: | 286-296 |
| URL: | https://doi.org/10.1145/3731120.3744595 |
| DOI: | https://doi.org/10.1145/3731120.3744595 |
| DBLP: | conf/ictir/SalemiZ25a |
| BibTeX: |
@inproceedings{salemi-2025-comparing,
author = {Alireza Salemi and
Hamed Zamani},
editor = {Hamed Zamani and
Laura Dietz and
Benjamin Piwowarski and
Sebastian Bruch},
title = {{Comparing Retrieval-Augmentation and Parameter-Efficient Fine-Tuning for Privacy-Preserving Personalization of Large Language Models}},
booktitle = {{Proceedings of the 2025 International ACM SIGIR Conference on Innovative Concepts and Theories in Information Retrieval, ICTIR 2025, Padua, Italy, 18 July 2025}},
pages = {286--296},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3731120.3744595},
doi = {https://doi.org/10.1145/3731120.3744595}
}