@inproceedings{xiao-etal-2026-lunar-r1,
    title = "{L}unar-{R}1: Efficient Reasoning of Large Language Models for Lunar Exploration via Reinforcement Learning",
    author = "Xiao, Xin-Yu  and
      Tian, Ye  and
      He, Zhixian  and
      Chen, Qilin  and
      Wang, Shiqi  and
      Xia, Qianchen",
    editor = "Atanasova, Pepa  and
      Haffari, Gholamreza  and
      Wang, Minghan",
    booktitle = "Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing: Industry Track",
    month = oct,
    year = "2026",
    address = "Budapest, Hungary",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2026.emnlp-industry.5/",
    pages = "50--69",
    ISBN = "979-8-89176-460-6"
}