@inproceedings{pei-etal-2025-overview,
    title = "Overview of {CCL}25-Eval Task 5: {C}hinese Classical Poetry Appreciation Evaluation ({CCPA}) Task",
    author = "Pei, Zhenwu  and
      Zhu, Yingjie  and
      Chen, Rongbo  and
      Bai, Xuefeng  and
      Chen, Kehai  and
      Zhang, Min",
    editor = "Lin, Hongfei  and
      Li, Bin  and
      Tan, Hongye",
    booktitle = "Proceedings of the 24th {C}hina National Conference on Computational Linguistics ({CCL} 2025)",
    month = aug,
    year = "2025",
    address = "Jinan, China",
    publisher = "Chinese Information Processing Society of China",
    url = "https://preview.aclanthology.org/ingest-ccl/2025.ccl-2.26/",
    pages = "212--219",
    abstract = "``This paper presents a review of CCL2025-Eval Task 5: Appreciation Evaluation (CCPA). The primary aim of this task is to evaluate the ability of lan-guage models in performing deep semantic understanding and aesthetic appreciation of Chinese classical poetry. The evaluation comprises two tracks: (1) Poetic content understanding, which examines models' ability to interpret both fine-grained and coarse-grained semantics; (2) Poetic emotion recognition, which evaluates models' capacity to identify and analyze emotional expressions. A total of 55 teams registered for the task, among which 7 teams provided valid submissions. The paper provides an in-depth analysis of the submissions and results from all participating teams.''"
}