@article{hong-etal-2026-beyond,
    title = "Beyond One-Size-Fits-All: Inversion Learning for Highly Effective {NLG} Evaluation Prompts",
    author = "Hong, Hanhua  and
      Xiao, Chenghao  and
      Wang, Yang  and
      Liu, Yiqi  and
      Rong, Wenge  and
      Lin, Chenghua",
    journal = "Transactions of the Association for Computational Linguistics",
    volume = "14",
    year = "2026",
    address = "Cambridge, MA",
    publisher = "MIT Press",
    url = "https://preview.aclanthology.org/ingest-latest-mitpress-cl-tacl/2026.tacl-1.31/",
    doi = "10.1162/tacl.a.617",
    pages = "689--710"
}