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    ArchPlanVQA: Benchmark and Comprehensive Evaluation of Vision-Language Models for Understanding Architectural Floor Plan CAD Drawings

    Source: Journal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 005::page 04026060-1
    Author:
    Li, Pengyang
    ,
    Chen, Hainan
    ,
    Zheng, Zhuang
    ,
    He, Juntao
    ,
    Yang, Hai
    DOI: 10.1061/JCCEE5.CPENG-7571
    Publisher: American Society of Civil Engineers
    Abstract: AbstractArchitectural plan computer-aided design (CAD) drawings constitute fundamental references for building whole life-cycle management. However, efficient querying, retrieval, and analysis of these drawings across departments are frequently hindered ...
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      ArchPlanVQA: Benchmark and Comprehensive Evaluation of Vision-Language Models for Understanding Architectural Floor Plan CAD Drawings

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4314525
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    contributor authorLi, Pengyang
    contributor authorChen, Hainan
    contributor authorZheng, Zhuang
    contributor authorHe, Juntao
    contributor authorYang, Hai
    date accessioned2026-08-20T21:28:51Z
    date available2026-08-20T21:28:51Z
    date copyright2026/06/02
    date issued2026
    identifier otherJCCEE5.CPENG-7571.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314525
    description abstractAbstractArchitectural plan computer-aided design (CAD) drawings constitute fundamental references for building whole life-cycle management. However, efficient querying, retrieval, and analysis of these drawings across departments are frequently hindered ...
    publisherAmerican Society of Civil Engineers
    titleArchPlanVQA: Benchmark and Comprehensive Evaluation of Vision-Language Models for Understanding Architectural Floor Plan CAD Drawings
    typeJournal Article
    journal volume40
    journal issue5
    journal titleJournal of Computing in Civil Engineering
    identifier doi10.1061/JCCEE5.CPENG-7571
    journal fristpage04026060-1
    journal lastpage04026060-12
    page12
    treeJournal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 005
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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