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Semi-Supervised Prefix Tuning of Large Language Models for Industrial Fault Diagnosis with Big Data

Gecheng Chen Jiahao Yuan Jiayu Yao Zheng Luo Jianqiang Li Chengwen Luo

Big Data Mining and Analytics2025，Vol.8Issue(6)：P.1353-1368,16.

Big Data Mining and Analytics2025，Vol.8Issue(6)：P.1353-1368,16.DOI:10.26599/BDMA.2025.9020038

Semi-Supervised Prefix Tuning of Large Language Models for Industrial Fault Diagnosis with Big Data

Gecheng Chen ¹Jiahao Yuan ¹Jiayu Yao ¹Zheng Luo ²Jianqiang Li ¹Chengwen Luo¹

作者信息

1. School of Artificial Intelligence and National Engineering Laboratory for Big Data System Computing Technology,Shenzhen University,Shenzhen 518060,China
2. Faculty of Engineering,The University of Hong Kong,Hong Kong 999077,China
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摘要

关键词

Industrial big data/Large Language Models(LLMs)/parameter-efficient fine-tuning/Sparse Gaussian Processes(SGP)/prompt engineering

分类

信息技术与安全科学

引用本文复制引用

Gecheng Chen,Jiahao Yuan,Jiayu Yao,Zheng Luo,Jianqiang Li,Chengwen Luo..Semi-Supervised Prefix Tuning of Large Language Models for Industrial Fault Diagnosis with Big Data[J].Big Data Mining and Analytics,2025,8(6):P.1353-1368,16.

基金项目

supported by the National Key R&D Program of China(No.2023YFB4704900) （No.2023YFB4704900）

the National Natural Science Foundation of China(Nos.62422312,62203134,and 62503337) （Nos.62422312,62203134,and 62503337）

the National Natural Science Funds for Distinguished Young Scholar(No.62325307) （No.62325307）

the Natural Science Foundation of Guangdong Province(No.023B1515120038) （No.023B1515120038）

the Shenzhen Science and Technology Innovation Commission(Nos.20220809141216003 and KJZD20230923113801004) （Nos.20220809141216003 and KJZD20230923113801004）

the Scientific Instrument Developing Project of Shenzhen University(No.2023YQ019). （No.2023YQ019）

Big Data Mining and Analytics

OACSCD

ISSN：2096-0654

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