Analysis of Progress in Data Mining of Scientific Literature Using Large Language Models

Analysis of Progress in Data Mining of Scientific Literature Using Large Language Models

[Purpose/Significance] Scientific literature contains rich domain knowledge and scientific data, which can provide high-quality data support for AI-driven scientific research (AI4S). This paper systematically reviews the methods, tools, and applications of arge language models (LLMs) in scientific l...

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Bibliographic Details
Main Author: CAI Yiran, HU Zhengyin, LIU Chunjiang
Format: Article
Language:zho
Published: Editorial Department of Journal of Library and Information Science in Agriculture 2025-02-01
Series:Nongye tushu qingbao xuebao
Subjects:
scientific literature data mining|large language models|ai for science|data driven|knowledge discovery
Online Access:http://nytsqb.aiijournal.com/fileup/1002-1248/PDF/1747741303657-999650976.pdf
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