@inproceedings{liu-etal-2025-structural,
    title = "Structural Reward Model: Enhancing Interpretability, Efficiency, and Scalability in Reward Modeling",
    author = "Liu, Xiaoyu  and
      Liang, Di  and
      Shan, Hongyu  and
      Liu, Peiyang  and
      Liu, Yonghao  and
      Wu, Muling  and
      Li, Yuntao  and
      Wu, Xianjie  and
      Miao, Li  and
      Shen, Jiangrong  and
      Peng, Minlong",
    editor = "Potdar, Saloni  and
      Rojas-Barahona, Lina  and
      Montella, Sebastien",
    booktitle = "Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing: Industry Track",
    month = nov,
    year = "2025",
    address = "Suzhou (China)",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-emnlp/2025.emnlp-industry.47/",
    pages = "672--685",
    ISBN = "979-8-89176-333-3"
}