LibVQ: A Toolkit for Optimizing Vector Quantization and Efficient Neural Retrieval.

Chaofan Li|Zheng Liu|Shitao Xiao|Yingxia Shao|Defu Lian|Zhao Cao


Anthology ID:DBLP:conf/sigir/LiLXSLC23
Volume:Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023
Year:2023
Venue:Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Publisher:ACM
Pages:3095-3099
URL:https://doi.org/10.1145/3539618.3591799
DOI:https://doi.org/10.1145/3539618.3591799
DBLP:conf/sigir/LiLXSLC23
BibTeX:
@inproceedings{li-2023-libvq, author = {Chaofan Li and Zheng Liu and Shitao Xiao and Yingxia Shao and Defu Lian and Zhao Cao}, editor = {Hsin-Hsi Chen and Wei-Jou (Edward) Duh and Hen-Hsen Huang and Makoto P. Kato and Josiane Mothe and Barbara Poblete}, title = {{LibVQ: A Toolkit for Optimizing Vector Quantization and Efficient Neural Retrieval}}, booktitle = {{Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023}}, pages = {3095--3099}, publisher = {ACM}, year = {2023}, url = {https://doi.org/10.1145/3539618.3591799}, doi = {https://doi.org/10.1145/3539618.3591799} }