DADR: A Denoising Approach for Dense Retrieval Model Training.
M. Du, S. Li, J. Yu, J. Ma, H. Liu, M. Li, and B. Ji. APWeb/WAIM (3), volume 14333 of Lecture Notes in Computer Science, page 159-173. Springer, (2023)
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%0 Conference Paper
%1 conf/apweb/DuLYMLLJ23
%A Du, Mengxue
%A Li, Shasha
%A Yu, Jie
%A Ma, Jun
%A Liu, Huijun
%A Li, Miaomiao
%A Ji, Bin
%B APWeb/WAIM (3)
%D 2023
%E Song, Xiangyu
%E Feng, Ruyi
%E Chen, Yunliang
%E Li, Jianxin
%E Min, Geyong
%I Springer
%K dblp
%P 159-173
%T DADR: A Denoising Approach for Dense Retrieval Model Training.
%U http://dblp.uni-trier.de/db/conf/apweb/apweb2023-3.html#DuLYMLLJ23
%V 14333
%@ 978-981-97-2387-4
@inproceedings{conf/apweb/DuLYMLLJ23,
added-at = {2024-05-03T00:00:00.000+0200},
author = {Du, Mengxue and Li, Shasha and Yu, Jie and Ma, Jun and Liu, Huijun and Li, Miaomiao and Ji, Bin},
biburl = {https://www.bibsonomy.org/bibtex/299a96b9cb095622cd8e3078d29d7b402/dblp},
booktitle = {APWeb/WAIM (3)},
crossref = {conf/apweb/2023-3},
editor = {Song, Xiangyu and Feng, Ruyi and Chen, Yunliang and Li, Jianxin and Min, Geyong},
ee = {https://doi.org/10.1007/978-981-97-2387-4_11},
interhash = {d6947e10ac653e3d11aed01d96dbbaf0},
intrahash = {99a96b9cb095622cd8e3078d29d7b402},
isbn = {978-981-97-2387-4},
keywords = {dblp},
pages = {159-173},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
timestamp = {2024-05-06T07:18:08.000+0200},
title = {DADR: A Denoising Approach for Dense Retrieval Model Training.},
url = {http://dblp.uni-trier.de/db/conf/apweb/apweb2023-3.html#DuLYMLLJ23},
volume = 14333,
year = 2023
}
