Hierarchical Prompt Tuning for Few-Shot Multi-Task Learning.
Jingping Liu|Tao Chen|Zujie Liang|Haiyun Jiang|Yanghua Xiao|Feng Wei|Yuxi Qian|Zhenghong Hao|Bing Han
| Anthology ID: | DBLP:conf/cikm/LiuCLJXWQHH23 |
|---|---|
| Volume: | Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023 |
| Year: | 2023 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 1556-1565 |
| URL: | https://doi.org/10.1145/3583780.3614913 |
| DOI: | https://doi.org/10.1145/3583780.3614913 |
| DBLP: | conf/cikm/LiuCLJXWQHH23 |
| BibTeX: |
@inproceedings{liu-2023-hierarchical,
author = {Jingping Liu and
Tao Chen and
Zujie Liang and
Haiyun Jiang and
Yanghua Xiao and
Feng Wei and
Yuxi Qian and
Zhenghong Hao and
Bing Han},
editor = {Ingo Frommholz and
Frank Hopfgartner and
Mark Lee and
Michael P. Oakes and
Mounia Lalmas-Roelleke and
Min Zhang and
Rodrygo L. T. Santos},
title = {{Hierarchical Prompt Tuning for Few-Shot Multi-Task Learning}},
booktitle = {{Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023}},
pages = {1556--1565},
publisher = {ACM},
year = {2023},
url = {https://doi.org/10.1145/3583780.3614913},
doi = {https://doi.org/10.1145/3583780.3614913}
}