{"id":"https://openalex.org/W7162549004","doi":"https://doi.org/10.48550/arxiv.2605.27013","title":"Generating Robust Portfolios of Optimization Models using Large Language Models","display_name":"Generating Robust Portfolios of Optimization Models using Large Language Models","publication_year":2026,"publication_date":"2026-05-26","ids":{"openalex":"https://openalex.org/W7162549004","doi":"https://doi.org/10.48550/arxiv.2605.27013"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.27013","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.27013","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":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.27013","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5045764378","display_name":"Eleni Straitouri","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Straitouri, Eleni","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019768350","display_name":"C Kim","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kim, Cheol Woo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5137165338","display_name":"Milind Tambe","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tambe, Milind","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"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/T11596","display_name":"Constraint Satisfaction and Optimization","score":0.17190000414848328,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11596","display_name":"Constraint Satisfaction and Optimization","score":0.17190000414848328,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.1704999953508377,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10028","display_name":"Topic Modeling","score":0.10040000081062317,"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/exploit","display_name":"Exploit","score":0.6583999991416931},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.6110000014305115},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.5942000150680542},{"id":"https://openalex.org/keywords/robust-optimization","display_name":"Robust optimization","score":0.529699981212616},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.507099986076355},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.476500004529953},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.45829999446868896},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.44339999556541443},{"id":"https://openalex.org/keywords/stochastic-optimization","display_name":"Stochastic optimization","score":0.39010000228881836}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7943000197410583},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6583999991416931},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.6110000014305115},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.5942000150680542},{"id":"https://openalex.org/C193254401","wikidata":"https://www.wikidata.org/wiki/Q2160088","display_name":"Robust optimization","level":2,"score":0.529699981212616},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.507099986076355},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.476500004529953},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.45829999446868896},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.44339999556541443},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43860000371932983},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4016000032424927},{"id":"https://openalex.org/C194387892","wikidata":"https://www.wikidata.org/wiki/Q1747770","display_name":"Stochastic optimization","level":2,"score":0.39010000228881836},{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.38100001215934753},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3528999984264374},{"id":"https://openalex.org/C202655437","wikidata":"https://www.wikidata.org/wiki/Q7231728","display_name":"Portfolio optimization","level":3,"score":0.34779998660087585},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.3343999981880188},{"id":"https://openalex.org/C2780821815","wikidata":"https://www.wikidata.org/wiki/Q5340806","display_name":"Portfolio","level":2,"score":0.33340001106262207},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.3084000051021576},{"id":"https://openalex.org/C127491075","wikidata":"https://www.wikidata.org/wiki/Q7617825","display_name":"Stochastic modelling","level":2,"score":0.2858000099658966},{"id":"https://openalex.org/C105002631","wikidata":"https://www.wikidata.org/wiki/Q4833645","display_name":"Subject-matter expert","level":3,"score":0.2833000123500824},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.2761000096797943},{"id":"https://openalex.org/C137631369","wikidata":"https://www.wikidata.org/wiki/Q7617831","display_name":"Stochastic programming","level":2,"score":0.2734000086784363},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.271699994802475},{"id":"https://openalex.org/C2780264999","wikidata":"https://www.wikidata.org/wiki/Q7445032","display_name":"Security domain","level":2,"score":0.26489999890327454},{"id":"https://openalex.org/C179603123","wikidata":"https://www.wikidata.org/wiki/Q1941921","display_name":"Modeling language","level":3,"score":0.25699999928474426},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.2535000145435333}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.27013","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.27013","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":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.27013","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.27013","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":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.4167770445346832}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Mathematical":[0],"optimization":[1,18,36,59,101,208],"is":[2,67,75,165,172],"a":[3,25,93,98,118,128,133,139,147,179,185,205],"powerful":[4],"tool":[5],"for":[6],"structured":[7],"decision-making":[8],"across":[9,204],"domains":[10],"such":[11],"as":[12,28,127,132,156,158],"resource":[13],"allocation":[14],"and":[15,35,77,131,137],"planning.":[16],"Formulating":[17],"models":[19,47,60],"faithful":[20],"to":[21,50,104,107,174,193],"reality,":[22],"though,":[23],"remains":[24],"significant":[26],"bottleneck":[27],"it":[29],"typically":[30],"demands":[31],"both":[32,144],"domain":[33],"expertise":[34],"knowledge":[37],"that":[38,70,80,96,117,142],"are":[39,85],"often":[40],"scarce.":[41],"Recent":[42],"advances":[43],"in":[44,146,183],"large":[45],"language":[46,63],"(LLMs)":[48],"promise":[49],"bridge":[51],"this":[52,89],"gap,":[53],"enabling":[54,178],"the":[55,108,115,160,163,170],"generation":[56],"of":[57,100,110,207],"candidate":[58],"from":[61],"natural":[62],"descriptions.":[64],"However,":[65],"there":[66],"no":[68],"guarantee":[69],"any":[71],"single":[72,119],"LLM-generated":[73],"model":[74,84],"reliable,":[76],"existing":[78],"approaches":[79],"output":[81],"only":[82],"one":[83],"therefore":[86],"risky.":[87],"In":[88],"work,":[90],"we":[91],"propose":[92],"novel":[94],"algorithm":[95],"generates":[97],"portfolio":[99,171],"models,":[102],"designed":[103],"be":[105],"robust":[106],"limitations":[109],"LLMs.":[111],"Our":[112],"method":[113],"exploits":[114],"observation":[116],"LLM":[120],"can":[121,187],"play":[122],"two":[123],"distinct":[124],"roles":[125],"$\\unicode{x2014}$":[126,136],"stochastic":[129],"generator":[130,161],"reasoning":[134],"evaluator":[135,164],"proposes":[138],"unified":[140],"framework":[141],"leverages":[143],"capabilities":[145],"complementary":[148],"manner.":[149],"We":[150,195],"provide":[151],"theoretical":[152],"guarantees":[153],"showing":[154],"that,":[155],"long":[157],"either":[159],"or":[162],"well-aligned":[166],"with":[167],"human":[168],"preferences,":[169],"guaranteed":[173],"contain":[175],"high-quality":[176],"candidates,":[177],"principled":[180],"human-in-the-loop":[181],"process":[182],"which":[184],"decision-maker":[186],"review":[188],"multiple":[189],"candidates":[190],"before":[191],"committing":[192],"one.":[194],"further":[196],"validate":[197],"our":[198],"approach":[199],"empirically,":[200],"demonstrating":[201],"strong":[202],"performance":[203],"range":[206],"modeling":[209],"tasks.":[210]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-28T00:00:00"}