@inproceedings{chang-etal-2025-treereview,
    title = "{T}ree{R}eview: A Dynamic Tree of Questions Framework for Deep and Efficient {LLM}-based Scientific Peer Review",
    author = "Chang, Yuan  and
      Li, Ziyue  and
      Zhang, Hengyuan  and
      Kong, Yuanbo  and
      Wu, Yanru  and
      So, Hayden Kwok-Hay  and
      Guo, Zhijiang  and
      Zhu, Liya  and
      Wong, Ngai",
    editor = "Christodoulopoulos, Christos  and
      Chakraborty, Tanmoy  and
      Rose, Carolyn  and
      Peng, Violet",
    booktitle = "Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing",
    month = nov,
    year = "2025",
    address = "Suzhou, China",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-emnlp/2025.emnlp-main.790/",
    pages = "15662--15693",
    ISBN = "979-8-89176-332-6"
}