{"id":"https://openalex.org/W7161692540","doi":"https://doi.org/10.48550/arxiv.2605.17292","title":"MetaCogAgent: A Metacognitive Multi-Agent LLM Framework with Self-Aware Task Delegation","display_name":"MetaCogAgent: A Metacognitive Multi-Agent LLM Framework with Self-Aware Task Delegation","publication_year":2026,"publication_date":"2026-05-17","ids":{"openalex":"https://openalex.org/W7161692540","doi":"https://doi.org/10.48550/arxiv.2605.17292"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.17292","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.17292","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":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.2605.17292","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5136498347","display_name":"Chenyu Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Chenyu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5136465323","display_name":"Yang Shu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shu, Yang","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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.2020999938249588,"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"}},"topics":[{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.2020999938249588,"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":0.10660000145435333,"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"}},{"id":"https://openalex.org/T12090","display_name":"Language and cultural evolution","score":0.05380000174045563,"subfield":{"id":"https://openalex.org/subfields/3316","display_name":"Cultural Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/metacognition","display_name":"Metacognition","score":0.7616000175476074},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.557200014591217},{"id":"https://openalex.org/keywords/delegation","display_name":"Delegation","score":0.5299999713897705},{"id":"https://openalex.org/keywords/competence","display_name":"Competence (human resources)","score":0.5134000182151794},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.48919999599456787},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.427700012922287},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.41190001368522644},{"id":"https://openalex.org/keywords/task-analysis","display_name":"Task analysis","score":0.3756999969482422}],"concepts":[{"id":"https://openalex.org/C118147538","wikidata":"https://www.wikidata.org/wiki/Q1126970","display_name":"Metacognition","level":3,"score":0.7616000175476074},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.70660001039505},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.557200014591217},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5561000108718872},{"id":"https://openalex.org/C86532276","wikidata":"https://www.wikidata.org/wiki/Q1184065","display_name":"Delegation","level":2,"score":0.5299999713897705},{"id":"https://openalex.org/C100521375","wikidata":"https://www.wikidata.org/wiki/Q2015382","display_name":"Competence (human resources)","level":2,"score":0.5134000182151794},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.48919999599456787},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.427700012922287},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.41190001368522644},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38670000433921814},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.3756999969482422},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3391000032424927},{"id":"https://openalex.org/C118930307","wikidata":"https://www.wikidata.org/wiki/Q600590","display_name":"Tuple","level":2,"score":0.32199999690055847},{"id":"https://openalex.org/C161407221","wikidata":"https://www.wikidata.org/wiki/Q4382939","display_name":"Cognitive model","level":3,"score":0.3012999892234802},{"id":"https://openalex.org/C133112747","wikidata":"https://www.wikidata.org/wiki/Q7251931","display_name":"Protocol analysis","level":2,"score":0.29170000553131104},{"id":"https://openalex.org/C2778738651","wikidata":"https://www.wikidata.org/wiki/Q16546687","display_name":"Novelty","level":2,"score":0.28369998931884766},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.2833000123500824},{"id":"https://openalex.org/C45357846","wikidata":"https://www.wikidata.org/wiki/Q2001982","display_name":"Notation","level":2,"score":0.27889999747276306},{"id":"https://openalex.org/C2777096784","wikidata":"https://www.wikidata.org/wiki/Q3826351","display_name":"Referent","level":2,"score":0.2703000009059906},{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.25850000977516174},{"id":"https://openalex.org/C115286129","wikidata":"https://www.wikidata.org/wiki/Q123637","display_name":"Cybernetics","level":2,"score":0.257099986076355},{"id":"https://openalex.org/C14224292","wikidata":"https://www.wikidata.org/wiki/Q13600188","display_name":"Conceptual framework","level":2,"score":0.25189998745918274}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.17292","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.17292","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":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.17292","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.17292","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":false,"raw_source_name":null,"raw_type":"Preprint"},"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":{"Multi-agent":[0],"large":[1],"language":[2],"model":[3,125],"(LLM)":[4],"systems":[5],"have":[6],"shown":[7],"promise":[8],"for":[9],"solving":[10],"complex":[11],"tasks":[12,20,42,105,136],"through":[13,109],"agent":[14,29,62],"collaboration.":[15],"However,":[16],"existing":[17],"frameworks":[18],"assign":[19],"based":[21],"on":[22,41,130],"predefined":[23],"roles":[24],"without":[25],"considering":[26],"whether":[27],"an":[28,98],"can":[30],"accurately":[31],"assess":[32],"its":[33,44],"own":[34],"competence":[35,124],"boundaries,":[36],"leading":[37],"to":[38,106,178],"overconfident":[39],"execution":[40],"beyond":[43],"expertise.":[45],"Inspired":[46],"by":[47,89],"metacognition":[48],"theory":[49],"from":[50],"cognitive":[51,139],"science,":[52],"we":[53],"propose":[54],"MetaCogAgent,":[55],"a":[56,66,82,114],"multi-agent":[57],"LLM":[58],"framework":[59,77],"where":[60],"each":[61,122,174],"is":[63],"equipped":[64],"with":[65,93],"Metacognitive":[67],"Self-Assessment":[68],"Unit":[69],"that":[70,85,102,119,142,173],"evaluates":[71],"task-capability":[72],"alignment":[73],"before":[74],"execution.":[75],"The":[76],"introduces":[78],"three":[79],"contributions:":[80],"(1)":[81],"self-assessment":[83],"mechanism":[84],"estimates":[86],"per-task":[87],"confidence":[88],"combining":[90],"verbalized":[91],"uncertainty":[92],"historical":[94],"capability":[95,115],"profiles;":[96],"(2)":[97],"adaptive":[99],"delegation":[100],"protocol":[101],"routes":[103],"low-confidence":[104],"better-suited":[107],"agents":[108],"cross-agent":[110],"evaluation;":[111],"and":[112,164],"(3)":[113],"boundary":[116],"learning":[117],"module":[118],"iteratively":[120],"refines":[121],"agent's":[123],"via":[126],"cybernetic":[127],"feedback.":[128],"Experiments":[129],"our":[131],"constructed":[132],"MetaCog-Eval":[133],"benchmark":[134],"(700":[135],"across":[137],"5":[138],"dimensions)":[140],"demonstrate":[141],"MetaCogAgent":[143],"achieves":[144],"82.4%":[145],"task":[146],"accuracy":[147],"--":[148,155],"8.7%":[149],"above":[150],"the":[151],"best":[152],"routing":[153],"baseline":[154],"while":[156],"using":[157],"5%":[158],"fewer":[159,166],"API":[160],"calls":[161],"than":[162,167],"AutoGen":[163],"34%":[165],"ensemble":[168],"voting.":[169],"Ablation":[170],"studies":[171],"confirm":[172],"metacognitive":[175],"component":[176],"contributes":[177],"overall":[179],"system":[180],"performance.":[181]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-20T00:00:00"}