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    Using an LLM-Powered Framework for Automatic Risk Identification and Mitigation from Past Claims and Supplemental Agreements

    Source: Journal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 002::page 04025151-1
    Author:
    Chen, Gongfan
    ,
    Jaselskis, Edward J.
    ,
    Tamer, Alyson
    ,
    Folz, Andrew
    DOI: 10.1061/JCCEE5.CPENG-6754
    Publisher: American Society of Civil Engineers
    Abstract: AbstractExamining historical claims and supplemental agreements (CSAs) can provide critical insights into the underlying factors driving project claims and change orders, thereby strengthening an organization’s overall risk management practices. However, ...
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      Using an LLM-Powered Framework for Automatic Risk Identification and Mitigation from Past Claims and Supplemental Agreements

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4314427
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    contributor authorChen, Gongfan
    contributor authorJaselskis, Edward J.
    contributor authorTamer, Alyson
    contributor authorFolz, Andrew
    date accessioned2026-08-20T21:25:24Z
    date available2026-08-20T21:25:24Z
    date copyright2025/11/25
    date issued2026
    identifier otherJCCEE5.CPENG-6754.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314427
    description abstractAbstractExamining historical claims and supplemental agreements (CSAs) can provide critical insights into the underlying factors driving project claims and change orders, thereby strengthening an organization’s overall risk management practices. However, ...
    publisherAmerican Society of Civil Engineers
    titleUsing an LLM-Powered Framework for Automatic Risk Identification and Mitigation from Past Claims and Supplemental Agreements
    typeJournal Article
    journal volume40
    journal issue2
    journal titleJournal of Computing in Civil Engineering
    identifier doi10.1061/JCCEE5.CPENG-6754
    journal fristpage04025151-1
    journal lastpage04025151-20
    page20
    treeJournal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 002
    contenttypeFulltext
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