{"id":"https://openalex.org/W7134851348","doi":"https://doi.org/10.48550/arxiv.2603.07728","title":"A Novel Multi-Agent Architecture to Reduce Hallucinations of Large Language Models in Multi-Step Structural Modeling","display_name":"A Novel Multi-Agent Architecture to Reduce Hallucinations of Large Language Models in Multi-Step Structural Modeling","publication_year":2026,"publication_date":"2026-03-08","ids":{"openalex":"https://openalex.org/W7134851348","doi":"https://doi.org/10.48550/arxiv.2603.07728"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2603.07728","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5013821033","display_name":"Ziheng Geng","orcid":"https://orcid.org/0000-0003-3050-494X"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Geng, Ziheng","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128670648","display_name":"Jiachen Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Jiachen","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128668677","display_name":"Ran Cao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cao, Ran","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128631363","display_name":"Lu Cheng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cheng, Lu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077403931","display_name":"Dan M. Frangopol","orcid":"https://orcid.org/0000-0002-9213-0683"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Frangopol, Dan M.","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5021258238","display_name":"Minghui Cheng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cheng, Minghui","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5013821033"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.1987999975681305,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.1987999975681305,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11115","display_name":"Topology Optimization in Engineering","score":0.12290000170469284,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11006","display_name":"BIM and Construction Integration","score":0.1006999984383583,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/executable","display_name":"Executable","score":0.8133999705314636},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5934000015258789},{"id":"https://openalex.org/keywords/scripting-language","display_name":"Scripting language","score":0.5703999996185303},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5521000027656555},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5504999756813049},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.5253999829292297},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5128999948501587},{"id":"https://openalex.org/keywords/modeling-language","display_name":"Modeling language","score":0.3871000111103058}],"concepts":[{"id":"https://openalex.org/C160145156","wikidata":"https://www.wikidata.org/wiki/Q778586","display_name":"Executable","level":2,"score":0.8133999705314636},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7057999968528748},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5934000015258789},{"id":"https://openalex.org/C61423126","wikidata":"https://www.wikidata.org/wiki/Q187432","display_name":"Scripting language","level":2,"score":0.5703999996185303},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5521000027656555},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5504999756813049},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.5253999829292297},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5128999948501587},{"id":"https://openalex.org/C179603123","wikidata":"https://www.wikidata.org/wiki/Q1941921","display_name":"Modeling language","level":3,"score":0.3871000111103058},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38260000944137573},{"id":"https://openalex.org/C145644426","wikidata":"https://www.wikidata.org/wiki/Q169411","display_name":"Unified Modeling Language","level":3,"score":0.36570000648498535},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.36329999566078186},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.3610999882221222},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.3508000075817108},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.34220001101493835},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.33079999685287476},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.32269999384880066},{"id":"https://openalex.org/C35869016","wikidata":"https://www.wikidata.org/wiki/Q846636","display_name":"Software architecture","level":3,"score":0.3086000084877014},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.302700012922287},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.2824999988079071},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.28220000863075256},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.26269999146461487},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2615000009536743},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.2599000036716461},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.2554999887943268},{"id":"https://openalex.org/C169590947","wikidata":"https://www.wikidata.org/wiki/Q47506","display_name":"Compiler","level":2,"score":0.25209999084472656},{"id":"https://openalex.org/C107598950","wikidata":"https://www.wikidata.org/wiki/Q259864","display_name":"Microarchitecture","level":2,"score":0.2515999972820282}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2603.07728","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2603.07728","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.07728","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:doi:10.48550/arxiv.2603.07728","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Large":[0],"language":[1],"models":[2,57],"(LLMs)":[3],"such":[4],"as":[5],"GPT":[6],"and":[7,16,58,75,96,103,113,120,141,176,189],"Gemini":[8],"have":[9,40],"demonstrated":[10],"remarkable":[11],"capabilities":[12],"in":[13,27,66,125,173,178],"contextual":[14],"understanding":[15],"reasoning.":[17],"The":[18,138,154,182],"strong":[19],"performance":[20],"of":[21,47,162],"LLMs":[22,39,63],"has":[23],"sparked":[24],"growing":[25],"interest":[26],"leveraging":[28],"them":[29],"to":[30,54,72,91,127,192],"automate":[31,92],"tasks":[32],"traditionally":[33],"dependent":[34],"on":[35,159],"human":[36],"expertise.":[37],"Recently,":[38],"been":[41],"integrated":[42],"into":[43,146],"intelligent":[44],"agents":[45,106,122],"capable":[46],"operating":[48],"structural":[49,56,69,94,194],"analysis":[50,97,102],"software":[51],"(e.g.,":[52],"OpenSees)":[53],"construct":[55],"perform":[59],"analyses.":[60],"However,":[61],"existing":[62],"are":[64],"limited":[65],"handling":[67],"multi-step":[68],"modeling":[70,95,117],"due":[71],"frequent":[73],"hallucinations":[74],"error":[76],"accumulation":[77],"during":[78],"long-sequence":[79],"operations.":[80],"To":[81],"this":[82,84],"end,":[83],"study":[85],"presents":[86],"a":[87,115,134,160],"novel":[88],"multi-agent":[89],"architecture":[90,156,183],"the":[93,129,179],"using":[98],"OpenSeesPy.":[99],"First,":[100],"problem":[101],"construction":[104],"planning":[105],"extract":[107],"key":[108],"parameters":[109],"from":[110],"user":[111],"descriptions":[112],"formulate":[114],"stepwise":[116],"plan.":[118],"Node":[119],"element":[121],"then":[123],"operate":[124],"parallel":[126],"assemble":[128],"frame":[130,164],"geometry,":[131],"followed":[132],"by":[133,150],"load":[135,142],"assignment":[136],"agent.":[137],"resulting":[139],"geometric":[140],"information":[143],"is":[144,157],"translated":[145],"executable":[147],"OpenSeesPy":[148],"scripts":[149],"code":[151],"translation":[152],"agents.":[153],"proposed":[155],"evaluated":[158],"benchmark":[161],"20":[163],"problems":[165],"over":[166],"ten":[167],"repeated":[168],"trials,":[169],"achieving":[170],"100%":[171],"accuracy":[172],"18":[174],"cases":[175],"90%":[177],"remaining":[180],"two.":[181],"also":[184],"significantly":[185],"improves":[186],"computational":[187],"efficiency":[188],"demonstrates":[190],"scalability":[191],"larger":[193],"systems.":[195]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2026-03-11T00:00:00"}
