@inproceedings{le-etal-2025-optiprune,
    title = "{O}pti{P}rune: Effective Pruning Approach for Every Target Sparsity",
    author = "Le, Khang Nguyen  and
      Sato, Ryo  and
      Nakashima, Dai  and
      Suzuki, Takeshi  and
      Nguyen, Minh Le",
    editor = "Rambow, Owen  and
      Wanner, Leo  and
      Apidianaki, Marianna  and
      Al-Khalifa, Hend  and
      Eugenio, Barbara Di  and
      Schockaert, Steven",
    booktitle = "Proceedings of the 31st International Conference on Computational Linguistics",
    month = jan,
    year = "2025",
    address = "Abu Dhabi, UAE",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/add-emnlp-2024-awards/2025.coling-main.243/",
    pages = "3600--3612"
}