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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.
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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  Data: <searchLink fieldCode="AU" term="%22Meng+Q%22">Meng Q</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22He+Y%22">He Y</searchLink>; Green Power Research Institute, Tianjin Renai College, Tianjin, China.<br /><searchLink fieldCode="AU" term="%22Hussain+S%22">Hussain S</searchLink>; Green Power Research Institute, Tianjin Renai College, Tianjin, China.<br /><searchLink fieldCode="AU" term="%22Zhou+F%22">Zhou F</searchLink>; China Electric Power Research Institute, State Grid Corporation of China, Beijing, China.<br /><searchLink fieldCode="AU" term="%22Xu+J%22">Xu J</searchLink>; Tianjin Electric Power Technology Development Co., Ltd, State Grid Corporation of China, Tianjin, China.<br /><searchLink fieldCode="AU" term="%22Zhao+G%22">Zhao G</searchLink>; Tianjin Electric Power Technology Development Co., Ltd, State Grid Corporation of China, Tianjin, China.<br /><searchLink fieldCode="AU" term="%22Xiong+D%22">Xiong D</searchLink>; College of Intelligence and Computing, Tianjin University, Tianjin, China.
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  Data: <searchLink fieldCode="JN" term="%22101285081%22">PloS one</searchLink> [PLoS One] 2026 Mar 13; Vol. 21 (3), pp. e0344683. <i>Date of Electronic Publication: </i>2026 Mar 13 (<i>Print Publication: </i>2026).
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