@inproceedings{ai-etal-2026-learning,
    title = "Learning What Matters: End-to-End Adaptive Calibration Data Selection for {LLM} Pruning",
    author = "Ai, Mengting  and
      Chen, Sirui  and
      He, Xinrui  and
      Zarekarizi, Maggie  and
      Weldemariam, Kommy  and
      He, Jingrui",
    editor = "Lee, Hung-Yi  and
      Dev, Sunipa  and
      Li, Jessy  and
      Elliott, Desmond",
    booktitle = "Findings of the {A}ssociation for {C}omputational {L}inguistics: {EMNLP} 2026",
    month = oct,
    year = "2026",
    address = "Budapest, Hungary",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2026.findings-emnlp.510/",
    pages = "10680--10699",
    ISBN = "979-8-89176-462-0"
}