COLING 2025system demonstrations6 citations
AI-Press: A Multi-Agent News Generating and Feedback Simulation System Powered by Large Language Models
Xiawei Liu, Shiyue Yang, Xinnong Zhang, Haoyu Kuang, Libo Sun, Yihang Yang, Siming Chen, Xuanjing Huang
Abstract
We introduce AI-Press, an automated news drafting and polishing system based on multi-agent collaboration and Retrieval-Augmented Generation. We develop a feedback simulation system that generates public responses considering demographic distributions. Demo link: https://youtu.be/TmjfJrbzaRU
BibTeX
@inproceedings{liu-etal-2025-ai,
title = "{AI}-Press: A Multi-Agent News Generating and Feedback Simulation System Powered by Large Language Models",
author = "Liu, Xiawei and
Yang, Shiyue and
Zhang, Xinnong and
Kuang, Haoyu and
Sun, Libo and
Yang, Yihang and
Chen, Siming and
Huang, Xuanjing and
Wei, Zhongyu",
editor = "Rambow, Owen and
Wanner, Leo and
Apidianaki, Marianna and
Al-Khalifa, Hend and
Eugenio, Barbara Di and
Schockaert, Steven and
Mather, Brodie and
Dras, Mark",
booktitle = "Proceedings of the 31st International Conference on Computational Linguistics: System Demonstrations",
month = jan,
year = "2025",
address = "Abu Dhabi, UAE",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2025.coling-demos.8/",
pages = "63--82"
}