EvolutionAgent: A Large Model-Based Framework for User Behavior Modeling and Self-Evolving Intelligent Agents.
| Anthology ID: | DBLP:conf/www/LuoSS25 |
|---|---|
| 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: | 2973-2977 |
| URL: | https://doi.org/10.1145/3701716.3719226 |
| DOI: | https://doi.org/10.1145/3701716.3719226 |
| DBLP: | conf/www/LuoSS25 |
| BibTeX: |
@inproceedings{luo-2025-evolutionagent,
author = {Junhui Luo and
Li Song and
Ranrun Sun},
editor = {Guodong Long and
Michale Blumestein and
Yi Chang and
Liane Lewin-Eytan and
Zi Huang and
Elad Yom-Tov},
title = {{EvolutionAgent: A Large Model-Based Framework for User Behavior Modeling and Self-Evolving Intelligent Agents}},
booktitle = {{Companion Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025 - 2 May 2025}},
pages = {2973--2977},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3701716.3719226},
doi = {https://doi.org/10.1145/3701716.3719226}
}