@inproceedings{lv-etal-2026-beyond-sft,
    title = "Beyond {SFT}-Optimality: Cold-Start Data Selection for Reinforcement Learning via Gradient Subspace Coverage",
    author = "Lv, Haisheng  and
      Su, Zikun  and
      Liu, Jingbang  and
      Huang, Zilu  and
      Liu, Xinzhang  and
      Deng, Wenmin  and
      Zhao, Yu  and
      Wang, Chao  and
      Song, Shuangyong",
    editor = "Lee, Hung-Yi  and
      Dev, Sunipa  and
      Li, Jessy  and
      Elliott, Desmond",
    booktitle = "Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing",
    month = oct,
    year = "2026",
    address = "Budapest, Hungary",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2026.emnlp-main.513/",
    pages = "11769--11789",
    ISBN = "979-8-89176-459-0"
}