USimAgent: Large Language Models for Simulating Search Users.
Erhan Zhang|Xingzhu Wang|Peiyuan Gong|Yankai Lin|Jiaxin Mao
| Anthology ID: | DBLP:conf/sigir/ZhangWGLM24 |
|---|---|
| Volume: | Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024 |
| Year: | 2024 |
| Venue: | Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) |
| Publisher: | ACM |
| Pages: | 2687-2692 |
| URL: | https://doi.org/10.1145/3626772.3657963 |
| DOI: | https://doi.org/10.1145/3626772.3657963 |
| DBLP: | conf/sigir/ZhangWGLM24 |
| BibTeX: |
@inproceedings{zhang-2024-usimagent,
author = {Erhan Zhang and
Xingzhu Wang and
Peiyuan Gong and
Yankai Lin and
Jiaxin Mao},
editor = {Grace Hui Yang and
Hongning Wang and
Sam Han and
Claudia Hauff and
Guido Zuccon and
Yi Zhang},
title = {{USimAgent: Large Language Models for Simulating Search Users}},
booktitle = {{Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024}},
pages = {2687--2692},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3626772.3657963},
doi = {https://doi.org/10.1145/3626772.3657963}
}