@inproceedings{ye-etal-2025-cleme2,
    title = "{CLEME}2.0: Towards Interpretable Evaluation by Disentangling Edits for Grammatical Error Correction",
    author = "Ye, Jingheng  and
      Xu, Zishan  and
      Li, Yinghui  and
      Song, Linlin  and
      Zhou, Qingyu  and
      Zheng, Hai-Tao  and
      Shen, Ying  and
      Jiang, Wenhao  and
      Kim, Hong-Gee  and
      Liu, Ruitong  and
      Su, Xin  and
      Shan, Zifei",
    editor = "Che, Wanxiang  and
      Nabende, Joyce  and
      Shutova, Ekaterina  and
      Pilehvar, Mohammad Taher",
    booktitle = "Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
    month = jul,
    year = "2025",
    address = "Vienna, Austria",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/landing_page/2025.acl-long.10/",
    pages = "204--222",
    ISBN = "979-8-89176-251-0",
    abstract = "The paper focuses on the interpretability of Grammatical Error Correction (GEC) evaluation metrics, which received little attention in previous studies. To bridge the gap, we introduce **CLEME2.0**, a reference-based metric describing four fundamental aspects of GEC systems: hit-correction, wrong-correction, under-correction, and over-correction. They collectively contribute to exposing critical qualities and locating drawbacks of GEC systems. Evaluating systems by combining these aspects also leads to superior human consistency over other reference-based and reference-less metrics. Extensive experiments on two human judgment datasets and six reference datasets demonstrate the effectiveness and robustness of our method, achieving a new state-of-the-art result. Our codes are released at https://github.com/THUKElab/CLEME."
}