@inproceedings{deyi-2023-da,
    title = "大语言模型对齐:概念、挑战、路线、评测及趋势(Large Language Model Alignment: Concepts, Challenges, Roadmaps, Evaluations and Trends)",
    author = "Deyi, Xiong",
    editor = "Zhang, Jiajun",
    booktitle = "Proceedings of the 22nd Chinese National Conference on Computational Linguistics (Volume 2: Frontier Forum)",
    month = aug,
    year = "2023",
    address = "Harbin, China",
    publisher = "Chinese Information Processing Society of China",
    url = "https://preview.aclanthology.org/fix-sig-urls/2023.ccl-2.7/",
    pages = "77--87",
    language = "zho",
    abstract = "通用智能的{''}智能-目标{''}正交性及{''}工具性趋同{''}论点均要求通用智能的发展要智善结合。目前大语言模型在能力(智)方面发展迅速,但在更具挑战性的价值对齐(善)方面研究相对滞后。本综述将概述对齐的基本概念和必要性,简述其存在的社会和技术挑战,分析大语言模型对齐的主要技术路线和方法,探讨如何对大语言模型对齐进行评测,并对未来趋势进行展望。''"
}