Energy-Efficient and Dequantization-Free Quantization of LLMs: A Spiking Neural Network Approach to Salient Value Mitigation.
Chenyu Wang|Zhanglu Yan|Zhi Zhou|Xu Chen|Weng-Fai Wong
| Anthology ID: | DBLP:conf/www/WangYZCW26 |
|---|---|
| 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: | 5334-5345 |
| URL: | https://doi.org/10.1145/3774904.3792337 |
| DOI: | https://doi.org/10.1145/3774904.3792337 |
| DBLP: | conf/www/WangYZCW26 |
| BibTeX: |
@inproceedings{wang-2026-energyefficient,
author = {Chenyu Wang and
Zhanglu Yan and
Zhi Zhou and
Xu Chen and
Weng-Fai Wong},
editor = {Hakim Hacid and
Yoelle Maarek and
Francesco Bonchi and
Ido Guy and
Emine Yilmaz},
title = {{Energy-Efficient and Dequantization-Free Quantization of LLMs: A Spiking Neural Network Approach to Salient Value Mitigation}},
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 = {5334--5345},
publisher = {ACM},
year = {2026},
url = {https://doi.org/10.1145/3774904.3792337},
doi = {https://doi.org/10.1145/3774904.3792337}
}