Optimize Quantization for Large Language Models via Progressive Training.
Jiangcun Du|Renren Jin|Wuwei Huang|Wei Liu|Jian Luan|Deyi Xiong
| Anthology ID: | DBLP:conf/www/DuJHL0X25 |
|---|---|
| Volume: | Companion Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025 - 2 May 2025 |
| Year: | 2025 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 2474-2483 |
| URL: | https://doi.org/10.1145/3701716.3717578 |
| DOI: | https://doi.org/10.1145/3701716.3717578 |
| DBLP: | conf/www/DuJHL0X25 |
| BibTeX: |
@inproceedings{du-2025-optimize,
author = {Jiangcun Du and
Renren Jin and
Wuwei Huang and
Wei Liu and
Jian Luan and
Deyi Xiong},
editor = {Guodong Long and
Michale Blumestein and
Yi Chang and
Liane Lewin-Eytan and
Zi Huang and
Elad Yom-Tov},
title = {{Optimize Quantization for Large Language Models via Progressive Training}},
booktitle = {{Companion Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025 - 2 May 2025}},
pages = {2474--2483},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3701716.3717578},
doi = {https://doi.org/10.1145/3701716.3717578}
}