@inproceedings{gu-hopkins-2023-evaluation,
    title = "On the Evaluation of Neural Selective Prediction Methods for Natural Language Processing",
    author = "Gu, Zhengyao  and
      Hopkins, Mark",
    editor = "Rogers, Anna  and
      Boyd-Graber, Jordan  and
      Okazaki, Naoaki",
    booktitle = "Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
    month = jul,
    year = "2023",
    address = "Toronto, Canada",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2023.acl-long.437",
    doi = "10.18653/v1/2023.acl-long.437",
    pages = "7888--7899",
    abstract = "We provide a survey and empirical comparison of the state-of-the-art in neural selective classification for NLP tasks. We also provide a methodological blueprint, including a novel metric called refinement that provides a calibrated evaluation of confidence functions for selective prediction. Finally, we supply documented, open-source code to support the future development of selective prediction techniques.",
}

We provide a survey and empirical comparison of the state-of-the-art in neural selective classification for NLP tasks. We also provide a methodological blueprint, including a novel metric called refinement that provides a calibrated evaluation of confidence functions for selective prediction. Finally, we supply documented, open-source code to support the future development of selective prediction techniques.
Gu, Zhengyao Hopkins, Mark
On the Evaluation of Neural Selective Prediction Methods for Natural Language Processing