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} }