EFT-LR: Benchmarking Learning Rate Policies in Parameter-Efficient Large Language Model Fine-tuning.
| Anthology ID: | DBLP:conf/cikm/Jawad025 |
|---|---|
| Volume: | Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025 |
| Year: | 2025 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 6408-6413 |
| URL: | https://doi.org/10.1145/3746252.3761630 |
| DOI: | https://doi.org/10.1145/3746252.3761630 |
| DBLP: | conf/cikm/Jawad025 |
| BibTeX: |
@inproceedings{jawad-2025-eftlr,
author = {Md. Tasnim Jawad and
Yanzhao Wu},
editor = {Carl Yang and
Meeyoung Cha and
Senjuti Basu Roy and
Chanyoung Park and
Zhenhui Jessie Li and
Noseong Park and
Carl Yang and
Senjuti Basu Roy and
Zhenhui Jessie Li and
Jaap Kamps and
Kijung Shin and
Bryan Hooi and
Lifang He},
title = {{EFT-LR: Benchmarking Learning Rate Policies in Parameter-Efficient Large Language Model Fine-tuning}},
booktitle = {{Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025}},
pages = {6408--6413},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3746252.3761630},
doi = {https://doi.org/10.1145/3746252.3761630}
}