@inproceedings{li-etal-2026-denser,
    title = "When Denser Credit Is Not Enough: Evidence-Calibrated Policy Optimization for Long-Horizon {LLM} Agent Training",
    author = "Li, Yuanfan  and
      Zhou, Qi  and
      Duan, Wenjing  and
      Chen, Lu",
    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.172/",
    pages = "3948--3965",
    ISBN = "979-8-89176-459-0"
}