GreenTune: Energy-Efficient Low-Rank Tuning of LLMs with ThreeE Evaluation under 4-/8-bit Quantization.
Xingrao Ma|Zongxi Li|Chengzu Dong|Kai Fang|Di Shao
| Anthology ID: | DBLP:conf/www/MaLDFS26 |
|---|---|
| Volume: | Proceedings of the ACM Web Conference 2026, WWW 2026, Dubai, United Arab Emirates, originally scheduled for April 13-17, 2026, rescheduled for June 29 - July 3, 2026. |
| Year: | 2026 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 9397-9408 |
| URL: | https://doi.org/10.1145/3774904.3793014 |
| DOI: | https://doi.org/10.1145/3774904.3793014 |
| DBLP: | conf/www/MaLDFS26 |
| BibTeX: |
@inproceedings{ma-2026-greentune,
author = {Xingrao Ma and
Zongxi Li and
Chengzu Dong and
Kai Fang and
Di Shao},
editor = {Hakim Hacid and
Yoelle Maarek and
Francesco Bonchi and
Ido Guy and
Emine Yilmaz},
title = {{GreenTune: Energy-Efficient Low-Rank Tuning of LLMs with ThreeE Evaluation under 4-/8-bit Quantization}},
booktitle = {{Proceedings of the ACM Web Conference 2026, WWW 2026, Dubai, United Arab Emirates, originally scheduled for April 13-17, 2026, rescheduled for June 29 - July 3, 2026}},
pages = {9397--9408},
publisher = {ACM},
year = {2026},
url = {https://doi.org/10.1145/3774904.3793014},
doi = {https://doi.org/10.1145/3774904.3793014}
}