@inproceedings{wang-etal-2025-rewardds,
    title = "{R}eward{DS}: Privacy-Preserving Fine-Tuning for Large Language Models via Reward Driven Data Synthesis",
    author = "Wang, Jianwei  and
      Shi, Chengming  and
      Yang, Junyao  and
      Li, Haoran  and
      Ma, Qianli  and
      Zhuang, Huiping  and
      Chen, Cen  and
      Zeng, Ziqian",
    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.223/",
    pages = "4479--4500",
    ISBN = "979-8-89176-332-6"
}