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

dc.contributor.authorChen, Gongfan
dc.contributor.authorJaselskis, Edward J.
dc.contributor.authorTamer, Alyson
dc.contributor.authorFolz, Andrew
dc.date.accessioned2026-08-20T21:25:24Z
dc.date.available2026-08-20T21:25:24Z
dc.date.copyright2025/11/25
dc.date.issued2026
dc.identifier.otherJCCEE5.CPENG-6754.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314427
dc.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, ...
dc.publisherAmerican Society of Civil Engineers
dc.titleUsing an LLM-Powered Framework for Automatic Risk Identification and Mitigation from Past Claims and Supplemental Agreements
dc.typeJournal Article
dc.journal.volume40
dc.journal.issue2
dc.journal.titleJournal of Computing in Civil Engineering
dc.identifier.doi10.1061/JCCEE5.CPENG-6754
dc.journal.fristpage04025151-1
dc.journal.lastpage04025151-20
dc.page20
dc.treeJournal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 002
dc.contenttypeFulltext


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