{"id":"https://openalex.org/W4415133830","doi":"https://doi.org/10.48550/arxiv.2506.02594","title":"EALG: Evolutionary Adversarial Generation of Language Model-Guided Generators for Combinatorial Optimization","display_name":"EALG: Evolutionary Adversarial Generation of Language Model-Guided Generators for Combinatorial Optimization","publication_year":2025,"publication_date":"2025-06-03","ids":{"openalex":"https://openalex.org/W4415133830","doi":"https://doi.org/10.48550/arxiv.2506.02594"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2506.02594","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2506.02594","pdf_url":"https://arxiv.org/pdf/2506.02594","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"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":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2506.02594","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101516880","display_name":"Ruibo Duan","orcid":"https://orcid.org/0009-0008-6869-2193"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Duan, Ruibo","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100385827","display_name":"Yuxin Liu","orcid":"https://orcid.org/0000-0002-4714-4787"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Yuxin","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Dong, Xinyao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dong, Xinyao","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5080242645","display_name":"Chenglin Fan","orcid":"https://orcid.org/0009-0007-7645-8367"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fan, Chenglin","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101516880"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9850000143051147,"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"}},"topics":[{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9850000143051147,"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/solver","display_name":"Solver","score":0.6933000087738037},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.6646999716758728},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.5992000102996826},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5875999927520752},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5144000053405762},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.5005999803543091},{"id":"https://openalex.org/keywords/combinatorial-optimization","display_name":"Combinatorial optimization","score":0.4359999895095825}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7289999723434448},{"id":"https://openalex.org/C2778770139","wikidata":"https://www.wikidata.org/wiki/Q1966904","display_name":"Solver","level":2,"score":0.6933000087738037},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.6646999716758728},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.5992000102996826},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5875999927520752},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5144000053405762},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.5005999803543091},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.453900009393692},{"id":"https://openalex.org/C52692508","wikidata":"https://www.wikidata.org/wiki/Q1333872","display_name":"Combinatorial optimization","level":2,"score":0.4359999895095825},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.40119999647140503},{"id":"https://openalex.org/C115908005","wikidata":"https://www.wikidata.org/wiki/Q2668364","display_name":"Combinatorial explosion","level":2,"score":0.3984000086784363},{"id":"https://openalex.org/C2985684807","wikidata":"https://www.wikidata.org/wiki/Q1513879","display_name":"Text generation","level":2,"score":0.349700003862381},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3359000086784363},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3312000036239624},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32670000195503235},{"id":"https://openalex.org/C2776187449","wikidata":"https://www.wikidata.org/wiki/Q1513879","display_name":"Natural language generation","level":3,"score":0.31940001249313354},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.2969000041484833},{"id":"https://openalex.org/C51823790","wikidata":"https://www.wikidata.org/wiki/Q504353","display_name":"Greedy algorithm","level":2,"score":0.28110000491142273},{"id":"https://openalex.org/C179603123","wikidata":"https://www.wikidata.org/wiki/Q1941921","display_name":"Modeling language","level":3,"score":0.27869999408721924}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2506.02594","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2506.02594","pdf_url":"https://arxiv.org/pdf/2506.02594","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"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":"text"},{"id":"doi:10.48550/arxiv.2506.02594","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2506.02594","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:oai:arXiv.org:2506.02594","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2506.02594","pdf_url":"https://arxiv.org/pdf/2506.02594","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"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":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4415133830.pdf","grobid_xml":"https://content.openalex.org/works/W4415133830.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Generating":[0],"challenging":[1],"instances":[2,37,112],"is":[3],"crucial":[4],"for":[5,135],"the":[6,32],"evaluation":[7],"and":[8,38,116],"advancement":[9],"of":[10,23,34,126],"combinatorial":[11,127,136],"optimization":[12,35,137],"solvers.":[13],"In":[14],"this":[15],"work,":[16],"we":[17],"introduce":[18],"EALG":[19,48,93,108],"(Evolutionary":[20],"Adversarial":[21],"Generation":[22],"Language":[24],"Model-Guided":[25],"Generators),":[26],"a":[27,50,95,123,132],"novel":[28],"framework":[29],"that":[30,54,82,107,138],"automates":[31],"co-evolution":[33],"problem":[36],"their":[39],"corresponding":[40],"heuristic":[41,69],"solvers":[42,119],"using":[43],"large":[44],"language":[45],"models":[46],"(LLMs).":[47],"leverages":[49],"mutation-based":[51],"adversarial":[52],"approach":[53],"dynamically":[55],"evolves":[56],"instance":[57,99,140],"generation":[58,100,141],"procedures":[59],"to":[60,101],"create":[61],"increasingly":[62],"difficult":[63],"problems,":[64],"while":[65],"simultaneously":[66],"synthesizing":[67],"adaptive":[68],"algorithms":[70],"through":[71],"interactions":[72],"with":[73,142],"LLMs":[74],"guided":[75],"by":[76],"algorithmic":[77],"structure.":[78],"Unlike":[79],"existing":[80],"approaches":[81],"focus":[83],"solely":[84],"on":[85],"static":[86],"benchmark":[87],"creation":[88],"or":[89],"manual":[90],"solver":[91,102,143],"design,":[92,144],"provides":[94],"seamless":[96],"pipeline":[97],"from":[98],"synthesis.":[103],"Experimental":[104],"results":[105],"demonstrate":[106],"generates":[109],"significantly":[110],"harder":[111],"than":[113],"current":[114],"benchmarks,":[115],"its":[117],"synthesized":[118],"generalize":[120],"effectively":[121],"across":[122],"broad":[124],"spectrum":[125],"tasks.":[128],"This":[129],"work":[130],"explores":[131],"new":[133],"paradigm":[134],"integrates":[139],"resulting":[145],"in":[146],"state-of-the-art":[147],"performance.":[148]},"counts_by_year":[],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-14T00:00:00"}