PEFA: Parameter-Free Adapters for Large-scale Embedding-based Retrieval Models.
Wei-Cheng Chang|Jyun-Yu Jiang|Jiong Zhang|Mutasem Al-Darabsah|Choon Hui Teo|Cho-Jui Hsieh|Hsiang-Fu Yu|S. V. N. Vishwanathan
| Anthology ID: | DBLP:conf/wsdm/ChangJZATHYV24 |
|---|---|
| Volume: | Proceedings of the 17th ACM International Conference on Web Search and Data Mining, WSDM 2024, Merida, Mexico, March 4-8, 2024 |
| Year: | 2024 |
| Venue: | Web Search and Data Mining (WSDM) |
| Publisher: | ACM |
| Pages: | 77-86 |
| URL: | https://doi.org/10.1145/3616855.3635791 |
| DOI: | https://doi.org/10.1145/3616855.3635791 |
| DBLP: | conf/wsdm/ChangJZATHYV24 |
| BibTeX: |
@inproceedings{chang-2024-pefa,
author = {Wei-Cheng Chang and
Jyun-Yu Jiang and
Jiong Zhang and
Mutasem Al-Darabsah and
Choon Hui Teo and
Cho-Jui Hsieh and
Hsiang-Fu Yu and
S. V. N. Vishwanathan},
editor = {Luz Angelica Caudillo-Mata and
Silvio Lattanzi and
Andr\'{e}s Mu\~{n}oz Medina and
Leman Akoglu and
Aristides Gionis and
Sergei Vassilvitskii},
title = {{PEFA: Parameter-Free Adapters for Large-scale Embedding-based Retrieval Models}},
booktitle = {{Proceedings of the 17th ACM International Conference on Web Search and Data Mining, WSDM 2024, Merida, Mexico, March 4-8, 2024}},
pages = {77--86},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3616855.3635791},
doi = {https://doi.org/10.1145/3616855.3635791}
}