@inproceedings{wang-hong-2023-query,
title = "Query Encoder Distillation via Embedding Alignment is a Strong Baseline Method to Boost Dense Retriever Online Efficiency",
author = "Wang, Yuxuan and
Hong, Lyu",
editor = "Sadat Moosavi, Nafise and
Gurevych, Iryna and
Hou, Yufang and
Kim, Gyuwan and
Kim, Young Jin and
Schuster, Tal and
Agrawal, Ameeta",
booktitle = "Proceedings of the Fourth Workshop on Simple and Efficient Natural Language Processing (SustaiNLP)",
month = jul,
year = "2023",
address = "Toronto, Canada (Hybrid)",
publisher = "Association for Computational Linguistics",
url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/2023.sustainlp-1.23/",
doi = "10.18653/v1/2023.sustainlp-1.23",
pages = "290--298"
}
Markdown (Informal)
[Query Encoder Distillation via Embedding Alignment is a Strong Baseline Method to Boost Dense Retriever Online Efficiency](https://preview.aclanthology.org/jlcl-multiple-ingestion/2023.sustainlp-1.23/) (Wang & Hong, sustainlp 2023)
ACL