Dense retrieval and reranking for referenced provisions in electric power audit systems.
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| Title: | Dense retrieval and reranking for referenced provisions in electric power audit systems. |
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| Authors: | Meng Q; Green Power Research Institute, Tianjin Renai College, Tianjin, China.; College of Intelligence and Computing, Tianjin University, Tianjin, China.; School of Electrical and Information Engineering, Tianjin University, Tianjin, China.; State Grid Tianjin Electric Power Company, State Grid Corporation of China, Tianjin, China., He Y; Green Power Research Institute, Tianjin Renai College, Tianjin, China., Hussain S; Green Power Research Institute, Tianjin Renai College, Tianjin, China., Zhou F; China Electric Power Research Institute, State Grid Corporation of China, Beijing, China., Xu J; Tianjin Electric Power Technology Development Co., Ltd, State Grid Corporation of China, Tianjin, China., Zhao G; Tianjin Electric Power Technology Development Co., Ltd, State Grid Corporation of China, Tianjin, China., Xiong D; College of Intelligence and Computing, Tianjin University, Tianjin, China. |
| Source: | PloS one [PLoS One] 2026 Mar 13; Vol. 21 (3), pp. e0344683. Date of Electronic Publication: 2026 Mar 13 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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