@inproceedings{terentowicz-etal-2025-un,
    title = "How (un)faithful are explainable {LLM}-based {NLG} metrics?",
    author = "Terentowicz, Alex  and
      Lango, Mateusz  and
      Dusek, Ondrej",
    editor = "Flek, Lucie  and
      Narayan, Shashi  and
      Phương, L{\^e} Hồng  and
      Pei, Jiahuan",
    booktitle = "Proceedings of the 18th International Natural Language Generation Conference",
    month = oct,
    year = "2025",
    address = "Hanoi, Vietnam",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/author-page-you-zhang-rochester/2025.inlg-main.37/",
    pages = "617--658",
    abstract = "Explainable NLG metrics are becoming a popular research topic; however, the faithfulness of the explanations they provide is typically not evaluated. In this work, we propose a testbed for assessing the faithfulness of span-based metrics by performing controlled perturbations of their explanations and observing changes in the final score. We show that several popular LLM evaluators do not consistently produce faithful explanations."
}