Enhance Performance of Ad-hoc Search via Prompt Learning.
Shenghao Yang|Yiqun Liu|Xiaohui Xie|Min Zhang|Shaoping Ma
| Anthology ID: | DBLP:conf/ccir/YangLXZM22 |
|---|---|
| Volume: | Information Retrieval - 28th China Conference, CCIR 2022, Chongqing, China, September 16-18, 2022, Revised Selected Papers |
| Year: | 2022 |
| Venue: | China Conference on Information Retrieval (CCIR) |
| Publisher: | Springer |
| Pages: | 28-39 |
| URL: | https://doi.org/10.1007/978-3-031-24755-2_3 |
| DOI: | https://doi.org/10.1007/978-3-031-24755-2_3 |
| DBLP: | conf/ccir/YangLXZM22 |
| BibTeX: |
@inproceedings{yang-2022-enhance,
author = {Shenghao Yang and
Yiqun Liu and
Xiaohui Xie and
Min Zhang and
Shaoping Ma},
editor = {Yi Chang and
Xiaofei Zhu},
title = {{Enhance Performance of Ad-hoc Search via Prompt Learning}},
booktitle = {{Information Retrieval - 28th China Conference, CCIR 2022, Chongqing, China, September 16-18, 2022, Revised Selected Papers}},
series = {Lecture Notes in Computer Science},
volume = {13819},
pages = {28--39},
publisher = {Springer},
year = {2022},
url = {https://doi.org/10.1007/978-3-031-24755-2_3},
doi = {https://doi.org/10.1007/978-3-031-24755-2_3}
}