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    Enhancing Retrieval-Augmented Generation Performance through Network Analysis of Question Types in Public Procurement Law

    Source: Journal of Management in Engineering:;2026:;Volume ( 042 ):;issue: 004::page 04026014-1
    Author:
    Lee, Kyung-Tae
    ,
    Im, Jin-Bin
    ,
    Hong, Rong-Lu
    ,
    Kim, Ju-Hyung
    DOI: 10.1061/JMENEA.MEENG-7429
    Publisher: American Society of Civil Engineers
    Abstract: AbstractPublic procurement and construction contracts underpin national industries; however, their complex legal frameworks and the engagement of multiple stakeholders frequently produce interpretive difficulties and disputes. Small- and medium-sized ...
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      Enhancing Retrieval-Augmented Generation Performance through Network Analysis of Question Types in Public Procurement Law

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4312775
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    contributor authorLee, Kyung-Tae
    contributor authorIm, Jin-Bin
    contributor authorHong, Rong-Lu
    contributor authorKim, Ju-Hyung
    date accessioned2026-08-20T11:51:48Z
    date available2026-08-20T11:51:48Z
    date copyright2026/05/04
    date issued2026
    identifier otherJMENEA.MEENG-7429.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4312775
    description abstractAbstractPublic procurement and construction contracts underpin national industries; however, their complex legal frameworks and the engagement of multiple stakeholders frequently produce interpretive difficulties and disputes. Small- and medium-sized ...
    publisherAmerican Society of Civil Engineers
    titleEnhancing Retrieval-Augmented Generation Performance through Network Analysis of Question Types in Public Procurement Law
    typeJournal Article
    journal volume42
    journal issue4
    journal titleJournal of Management in Engineering
    identifier doi10.1061/JMENEA.MEENG-7429
    journal fristpage04026014-1
    journal lastpage04026014-23
    page23
    treeJournal of Management in Engineering:;2026:;Volume ( 042 ):;issue: 004
    contenttypeFulltext
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