{"id":"https://openalex.org/W7127986425","doi":"https://doi.org/10.48550/arxiv.2602.05883","title":"A Guide to Large Language Models in Modeling and Simulation: From Core Techniques to Critical Challenges","display_name":"A Guide to Large Language Models in Modeling and Simulation: From Core Techniques to Critical Challenges","publication_year":2026,"publication_date":"2026-02-05","ids":{"openalex":"https://openalex.org/W7127986425","doi":"https://doi.org/10.48550/arxiv.2602.05883"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2602.05883","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":null,"license_id":null,"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/A5023496425","display_name":"Philippe J. Giabbanelli","orcid":"https://orcid.org/0000-0001-6816-355X"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Giabbanelli, Philippe J.","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5023496425"],"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/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.17640000581741333,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.17640000581741333,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T13910","display_name":"Computational and Text Analysis Methods","score":0.07360000163316727,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.05920000001788139,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/core","display_name":"Core (optical fiber)","score":0.6381999850273132},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.40939998626708984},{"id":"https://openalex.org/keywords/modeling-language","display_name":"Modeling language","score":0.3517000079154968},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.3197000026702881},{"id":"https://openalex.org/keywords/lead","display_name":"Lead (geology)","score":0.30970001220703125},{"id":"https://openalex.org/keywords/simulation-modeling","display_name":"Simulation modeling","score":0.28690001368522644}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6449000239372253},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.6381999850273132},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.5045999884605408},{"id":"https://openalex.org/C539667460","wikidata":"https://www.wikidata.org/wiki/Q2414942","display_name":"Management science","level":1,"score":0.4562999904155731},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.45410001277923584},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.40939998626708984},{"id":"https://openalex.org/C179603123","wikidata":"https://www.wikidata.org/wiki/Q1941921","display_name":"Modeling language","level":3,"score":0.3517000079154968},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.3197000026702881},{"id":"https://openalex.org/C2777093003","wikidata":"https://www.wikidata.org/wiki/Q6508345","display_name":"Lead (geology)","level":2,"score":0.30970001220703125},{"id":"https://openalex.org/C108215451","wikidata":"https://www.wikidata.org/wiki/Q7263963","display_name":"Simulation modeling","level":2,"score":0.28690001368522644},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.28540000319480896},{"id":"https://openalex.org/C2993829489","wikidata":"https://www.wikidata.org/wiki/Q5153317","display_name":"Common core","level":3,"score":0.2750999927520752},{"id":"https://openalex.org/C66024118","wikidata":"https://www.wikidata.org/wiki/Q1122506","display_name":"Computational model","level":2,"score":0.265500009059906},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.262800008058548}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2602.05883","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2602.05883","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.05883","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:doi:10.48550/arxiv.2602.05883","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":null,"license_id":null,"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],"(LLMs)":[3],"have":[4],"rapidly":[5],"become":[6],"familiar":[7],"tools":[8],"to":[9,51,92,97,116,126,134,188],"researchers":[10],"and":[11,25,129,155,161,171,186],"practitioners.":[12],"Concepts":[13],"such":[14],"as":[15,108],"prompting,":[16],"temperature,":[17],"or":[18,47,65],"few-shot":[19],"examples":[20],"are":[21,27],"now":[22],"widely":[23],"recognized,":[24],"LLMs":[26,99],"increasingly":[28],"used":[29],"in":[30],"Modeling":[31],"&amp;":[32],"Simulation":[33],"(M&amp;S)":[34],"workflows.":[35],"However,":[36],"practices":[37],"that":[38],"appear":[39],"straightforward":[40],"may":[41,48],"introduce":[42],"subtle":[43],"issues,":[44],"unnecessary":[45,79],"complexity,":[46],"even":[49],"lead":[50],"inferior":[52],"results.":[53],"Adding":[54],"more":[55],"data":[56,107],"can":[57,77,110,121],"backfire":[58],"(e.g.,":[59],"deteriorating":[60],"performance":[61],"through":[62],"model":[63,76],"collapse":[64],"inadvertently":[66],"wiping":[67],"out":[68],"existing":[69],"guardrails),":[70],"spending":[71],"time":[72],"on":[73,132,140,190],"fine-tuning":[74],"a":[75,81,102],"be":[78,111],"without":[80],"prior":[82],"assessment":[83],"of":[84,105,147,158,177],"what":[85],"it":[86],"already":[87],"knows,":[88],"setting":[89],"the":[90,175],"temperature":[91],"0":[93],"is":[94],"not":[95],"sufficient":[96],"make":[98,180],"deterministic,":[100],"providing":[101],"large":[103],"volume":[104],"M&amp;S":[106,141,159],"input":[109],"excessive":[112],"(LLMs":[113],"cannot":[114],"attend":[115],"everything)":[117],"but":[118],"naive":[119],"simplifications":[120],"lose":[122],"information.":[123],"We":[124,143,164],"aim":[125],"provide":[127],"comprehensive":[128],"practical":[130],"guidance":[131],"how":[133],"use":[135],"LLMs,":[136],"with":[137,174],"an":[138],"emphasis":[139],"applications.":[142],"discuss":[144],"common":[145],"sources":[146],"confusion,":[148],"including":[149],"non-determinism,":[150],"knowledge":[151],"augmentation":[152],"(including":[153],"RAG":[154],"LoRA),":[156],"decomposition":[157],"data,":[160],"hyper-parameter":[162],"settings.":[163],"emphasize":[165],"principled":[166],"design":[167],"choices,":[168],"diagnostic":[169],"strategies,":[170],"empirical":[172],"evaluation,":[173],"goal":[176],"helping":[178],"modelers":[179],"informed":[181],"decisions":[182],"about":[183],"when,":[184],"how,":[185],"whether":[187],"rely":[189],"LLMs.":[191]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2026-02-07T00:00:00"}
