Optimizing Dense Retrieval Model Training with Hard Negatives.

Jingtao Zhan|Jiaxin Mao|Yiqun Liu|Jiafeng Guo|Min Zhang|Shaoping Ma


Anthology ID:DBLP:conf/sigir/ZhanM0G0M21
Volume:SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021
Year:2021
Venue:Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Publisher:ACM
Pages:1503-1512
URL:https://doi.org/10.1145/3404835.3462880
DOI:https://doi.org/10.1145/3404835.3462880
DBLP:conf/sigir/ZhanM0G0M21
BibTeX:
@inproceedings{zhan-2021-optimizing, author = {Jingtao Zhan and Jiaxin Mao and Yiqun Liu and Jiafeng Guo and Min Zhang and Shaoping Ma}, editor = {Fernando Diaz and Chirag Shah and Torsten Suel and Pablo Castells and Rosie Jones and Tetsuya Sakai}, title = {{Optimizing Dense Retrieval Model Training with Hard Negatives}}, booktitle = {{SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021}}, pages = {1503--1512}, publisher = {ACM}, year = {2021}, url = {https://doi.org/10.1145/3404835.3462880}, doi = {https://doi.org/10.1145/3404835.3462880} }