BATON: Enhancing Batch-wise Inference Efficiency for Large Language Models via Dynamic Re-batching.
Peizhuang Cong|Qizhi Chen|Haochen Zhao|Tong Yang
| Anthology ID: | DBLP:conf/www/CongCZ025 |
|---|---|
| Volume: | 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: | 2309-2318 |
| URL: | https://doi.org/10.1145/3696410.3714950 |
| DOI: | https://doi.org/10.1145/3696410.3714950 |
| DBLP: | conf/www/CongCZ025 |
| BibTeX: |
@inproceedings{cong-2025-baton,
author = {Peizhuang Cong and
Qizhi Chen and
Haochen Zhao and
Tong Yang},
editor = {Guodong Long and
Michale Blumestein and
Yi Chang and
Liane Lewin-Eytan and
Zi Huang and
Elad Yom-Tov},
title = {{BATON: Enhancing Batch-wise Inference Efficiency for Large Language Models via Dynamic Re-batching}},
booktitle = {{Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025}},
pages = {2309--2318},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3696410.3714950},
doi = {https://doi.org/10.1145/3696410.3714950}
}