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        <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)</title>
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            <title>Proceedings of the 22nd Chinese National Conference on Computational Linguistics (Volume 2: Frontier Forum)</title>
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            <namePart type="given">Jiajun</namePart>
            <namePart type="family">Zhang</namePart>
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    <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。”</abstract>
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%0 Conference Proceedings
%T 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)
%A Deyi, Xiong
%Y Zhang, Jiajun
%S Proceedings of the 22nd Chinese National Conference on Computational Linguistics (Volume 2: Frontier Forum)
%D 2023
%8 August
%I Chinese Information Processing Society of China
%C Harbin, China
%G zho
%F deyi-2023-da
%X 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。”
%U https://aclanthology.org/2023.ccl-2.7/
%P 77-87

Markdown (Informal)

[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)](https://aclanthology.org/2023.ccl-2.7/) (Deyi, CCL 2023)

• 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) (Deyi, CCL 2023)

ACL

• Xiong Deyi. 2023. 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). In Proceedings of the 22nd Chinese National Conference on Computational Linguistics (Volume 2: Frontier Forum), pages 77–87, Harbin, China. Chinese Information Processing Society of China.