您当前的位置：
首页 >
文章列表页 >
Research on knowledge concept extraction method based on few-shot learning and chain-of-thought prompting
STUDY | 更新时间：2026-03-31

    • Research on knowledge concept extraction method based on few-shot learning and chain-of-thought prompting

    • BIG DATA RESEARCH   Vol. 12, Issue 2, Pages: 97-110(2026)

    • DOI：10.11959/j.issn.2096-0271.2025033    

      CLC： TP391.1

    • Published：15 March 2026

    移动端阅览

  • She Linlin,Xiong Longyang,Lu Xuesong.Research on knowledge concept extraction method based on few-shot learning and chain-of-thought prompting[J].BIG DATA RESEARCH,2026,12(02):97-110. DOI： 10.11959/j.issn.2096-0271.2025033.

  •  
  •  

0

Views

55

下载量

0

CSCD

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

AIGC: a survey of AI-generated content technologies
Large language model-based embodied intelligence task planning: from single-agent to multi-agent
Review of key technologies in knowledge graphs powered by code large language models
Shanshan: a question-answering system for computer general courses with high throughput and low latency
Knowledge-enhanced large language model based history subject exam question generation system

Related Author

Wang Jianzong
Xiao Chunguang
Liu Pengcheng
Xie Junfei
Qu Xiaoyang
Zhang Xulong
Qu Xiaoyang
JIA Ziqi

Related Institution

Shenzhen Baoan District Education Information Center
Institute of Advanced Technology, University of Science and Technology of China
Ping An Technology (Shenzhen) Co., Ltd.
Tsinghua University
Center for Strategic Studies, Chinese Academy of Engineering
0