EdgeGen: Efficient LLM-Empowered Model Generation with Quantization-Aware NAS.
Yingqi Peng|Wenhao Zhou|Kaijie Gong|Yang Liu|Yi Gao|Wei Dong
| Anthology ID: | DBLP:conf/www/PengZGLGD26 |
|---|---|
| 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: | 5427-5438 |
| URL: | https://doi.org/10.1145/3774904.3792394 |
| DOI: | https://doi.org/10.1145/3774904.3792394 |
| DBLP: | conf/www/PengZGLGD26 |
| BibTeX: |
@inproceedings{peng-2026-edgegen,
author = {Yingqi Peng and
Wenhao Zhou and
Kaijie Gong and
Yang Liu and
Yi Gao and
Wei Dong},
editor = {Hakim Hacid and
Yoelle Maarek and
Francesco Bonchi and
Ido Guy and
Emine Yilmaz},
title = {{EdgeGen: Efficient LLM-Empowered Model Generation with Quantization-Aware NAS}},
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 = {5427--5438},
publisher = {ACM},
year = {2026},
url = {https://doi.org/10.1145/3774904.3792394},
doi = {https://doi.org/10.1145/3774904.3792394}
}