@inproceedings{ma-etal-2021-contrastive,
title = "Contrastive Fine-tuning Improves Robustness for Neural Rankers",
author = "Ma, Xiaofei and
Nogueira dos Santos, Cicero and
Arnold, Andrew O.",
editor = "Zong, Chengqing and
Xia, Fei and
Li, Wenjie and
Navigli, Roberto",
booktitle = "Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021",
month = aug,
year = "2021",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2021.findings-acl.51",
doi = "10.18653/v1/2021.findings-acl.51",
pages = "570--582",
}
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%0 Conference Proceedings
%T Contrastive Fine-tuning Improves Robustness for Neural Rankers
%A Ma, Xiaofei
%A Nogueira dos Santos, Cicero
%A Arnold, Andrew O.
%Y Zong, Chengqing
%Y Xia, Fei
%Y Li, Wenjie
%Y Navigli, Roberto
%S Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
%D 2021
%8 August
%I Association for Computational Linguistics
%C Online
%F ma-etal-2021-contrastive
%R 10.18653/v1/2021.findings-acl.51
%U https://aclanthology.org/2021.findings-acl.51
%U https://doi.org/10.18653/v1/2021.findings-acl.51
%P 570-582
Markdown (Informal)
[Contrastive Fine-tuning Improves Robustness for Neural Rankers](https://aclanthology.org/2021.findings-acl.51) (Ma et al., Findings 2021)
ACL