EFT-LR: Benchmarking Learning Rate Policies in Parameter-Efficient Large Language Model Fine-tuning.

Md. Tasnim Jawad|Yanzhao Wu


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} }