Unveiling the Potential of LLMs in Simulated Society: A Knowledge-Driven LLM Agent Framework for User Modeling.

Shengmao Zhu|Bingbing Xu|Yige Yuan|Bin Xie|Yunfan Li|Huawei Shen


Anthology ID:DBLP:conf/www/Zhu0YXLS25
Volume:Companion Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025 - 2 May 2025
Year:2025
Venue:The Web Conference (WWW)
Publisher:ACM
Pages:2998-3002
URL:https://doi.org/10.1145/3701716.3719232
DOI:https://doi.org/10.1145/3701716.3719232
DBLP:conf/www/Zhu0YXLS25
BibTeX:
@inproceedings{zhu-2025-unveiling, author = {Shengmao Zhu and Bingbing Xu and Yige Yuan and Bin Xie and Yunfan Li and Huawei Shen}, editor = {Guodong Long and Michale Blumestein and Yi Chang and Liane Lewin-Eytan and Zi Huang and Elad Yom-Tov}, title = {{Unveiling the Potential of LLMs in Simulated Society: A Knowledge-Driven LLM Agent Framework for User Modeling}}, booktitle = {{Companion Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025 - 2 May 2025}}, pages = {2998--3002}, publisher = {ACM}, year = {2025}, url = {https://doi.org/10.1145/3701716.3719232}, doi = {https://doi.org/10.1145/3701716.3719232} }