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Research on Effective Information Extraction Techniques for Multi-Round Dialogues of Large-Scale Models in Deep Learning Environment

Hao Hu

Hao Hu

State Grid Jiangsu Electric Power Co., Ltd., Information and Telecommunication BranchNanjing, China
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Hu, Hao
, 
Zenghui Xiang

Zenghui Xiang

State Grid Jiangsu Electric Power Co., Ltd., Information and Telecommunication BranchNanjing, China
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Xiang, Zenghui
, 
Jinhui Li

Jinhui Li

State Grid Jiangsu Electric Power Co., Ltd., Information and Telecommunication BranchNanjing, China
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Li, Jinhui
, 
Hua Gao

Hua Gao

State Grid Jiangsu Electric Power Co., Ltd., Information and Telecommunication BranchNanjing, China
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Gao, Hua
 and 
Shenran Wang

Shenran Wang

State Grid Jiangsu Electric Power Co., Ltd., Information and Telecommunication BranchNanjing, China
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Wang, Shenran
  
Nov 27, 2024
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Published Online: Nov 27, 2024
Received: Jun 21, 2024
Accepted: Oct 14, 2024
DOI: https://doi.org/10.2478/amns-2024-3569
Keywords
© 2024 Hao Hu et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
Hu, Hao
State Grid Jiangsu Electric Power Co., Ltd., Information and Telecommunication BranchNanjing, China
Xiang, Zenghui
State Grid Jiangsu Electric Power Co., Ltd., Information and Telecommunication BranchNanjing, China
Li, Jinhui
State Grid Jiangsu Electric Power Co., Ltd., Information and Telecommunication BranchNanjing, China
Gao, Hua
State Grid Jiangsu Electric Power Co., Ltd., Information and Telecommunication BranchNanjing, China
Wang, Shenran
State Grid Jiangsu Electric Power Co., Ltd., Information and Telecommunication BranchNanjing, China
Language:
English
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1 times per year
Journal Subjects:
Life Sciences, Life Sciences, other, Mathematics, Applied Mathematics, General Mathematics, Physics, Physics, other
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