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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
 e 
Shenran Wang

Shenran Wang

State Grid Jiangsu Electric Power Co., Ltd., Information and Telecommunication BranchNanjing, China
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Wang, Shenran
  
27 nov 2024
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Pubblicato online: 27 nov 2024
Ricevuto: 21 giu 2024
Accettato: 14 ott 2024
DOI: https://doi.org/10.2478/amns-2024-3569
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© 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
Lingua:
Inglese
Frequenza di pubblicazione:
1 volte all'anno
Argomenti della rivista:
Scienze biologiche, Scienze della vita, altro, Matematica, Matematica applicata, Matematica generale, Fisica, Fisica, altro
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