The Truth Becomes Clearer Through Debate! Multi-Agent Systems with Large Language Models Unmask Fake News.
Yuhan Liu|Yuxuan Liu|Xiaoqing Zhang|Xiuying Chen|Rui Yan
| Anthology ID: | DBLP:conf/sigir/LiuLZC025 |
|---|---|
| Volume: | Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025 |
| Year: | 2025 |
| Venue: | Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) |
| Publisher: | ACM |
| Pages: | 504-514 |
| URL: | https://doi.org/10.1145/3726302.3730092 |
| DOI: | https://doi.org/10.1145/3726302.3730092 |
| DBLP: | conf/sigir/LiuLZC025 |
| BibTeX: |
@inproceedings{liu-2025-truth,
author = {Yuhan Liu and
Yuxuan Liu and
Xiaoqing Zhang and
Xiuying Chen and
Rui Yan},
editor = {Nicola Ferro and
Maria Maistro and
Gabriella Pasi and
Omar Alonso and
Andrew Trotman and
Suzan Verberne},
title = {{The Truth Becomes Clearer Through Debate! Multi-Agent Systems with Large Language Models Unmask Fake News}},
booktitle = {{Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025}},
pages = {504--514},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3726302.3730092},
doi = {https://doi.org/10.1145/3726302.3730092}
}