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Updated: Jun 11, 2025

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一个生成的大型语言模型在域特定信息提取方面表现如何?─GPT-4与基于规则的带隙提取方法之间的比较

Xin Wang1, Liangliang Huang2, Shuozhi Xu3

  • 1School of Library and Information Studies, The University of Oklahoma, 401 West Brooks, Norman, Oklahoma 73019, United States.

Journal of chemical information and modeling
|October 8, 2024
PubMed
概括

与基于规则的方法相比,像GPT-4这样的生成大型语言模型 (LLM) 在提取材料科学带差距数据方面表现出卓越的准确性. 这一发现支持LLM用于专门的信息提取任务.

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