Unlocking the Potential of User Feedback: Leveraging Large Language Model as User Simulators to Enhance Dialogue System.
Zhiyuan Hu|Aldo Lipani|Yue Feng|Stefan Bordag|Anh Tuan Luu|Bryan Hooi|Stefan Bordag|Aldo Lipani
| Anthology ID: | DBLP:conf/cikm/HuFLHL23 |
|---|---|
| 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: | 3953-3957 |
| URL: | https://doi.org/10.1145/3583780.3615220 |
| DOI: | https://doi.org/10.1145/3583780.3615220 |
| DBLP: | conf/cikm/HuFLHL23 |
| BibTeX: |
@inproceedings{hu-2023-unlocking,
author = {Zhiyuan Hu and
Aldo Lipani and
Yue Feng and
Stefan Bordag and
Anh Tuan Luu and
Bryan Hooi and
Stefan Bordag and
Aldo Lipani},
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 = {{Unlocking the Potential of User Feedback: Leveraging Large Language Model as User Simulators to Enhance Dialogue System}},
booktitle = {{Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023}},
pages = {3953--3957},
publisher = {ACM},
year = {2023},
url = {https://doi.org/10.1145/3583780.3615220},
doi = {https://doi.org/10.1145/3583780.3615220}
}