{"id":"https://openalex.org/W7155019889","doi":"https://doi.org/10.48550/arxiv.2604.15972","title":"Weak-Link Optimization for Multi-Agent Reasoning and Collaboration","display_name":"Weak-Link Optimization for Multi-Agent Reasoning and Collaboration","publication_year":2026,"publication_date":"2026-04-17","ids":{"openalex":"https://openalex.org/W7155019889","doi":"https://doi.org/10.48550/arxiv.2604.15972"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.15972","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.15972","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.2604.15972","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5134088568","display_name":"Haoyu Bian","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bian, Haoyu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134092601","display_name":"Chaoning Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Chaoning","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134093733","display_name":"Jiaquan Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Jiaquan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134041725","display_name":"Xingyao Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Xingyao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134029154","display_name":"Yuanfang Guo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guo, Yuanfang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134025575","display_name":"Wei Dong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dong, Wei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5134085804","display_name":"\u6768\u9633 Yang Yang","orcid":"https://orcid.org/0009-0007-6863-1609"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, 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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.2791000008583069,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.2791000008583069,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.10300000011920929,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.08500000089406967,"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/robustness","display_name":"Robustness (evolution)","score":0.6593000292778015},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5519000291824341},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.49380001425743103},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.47029998898506165},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.46470001339912415},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.4174000024795532}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6593000292778015},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6355000138282776},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5722000002861023},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5519000291824341},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.49380001425743103},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.47029998898506165},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.46470001339912415},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4643000066280365},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.4174000024795532},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.40220001339912415},{"id":"https://openalex.org/C41550386","wikidata":"https://www.wikidata.org/wiki/Q529909","display_name":"Multi-agent system","level":2,"score":0.31779998540878296},{"id":"https://openalex.org/C119487961","wikidata":"https://www.wikidata.org/wiki/Q863960","display_name":"Swarm intelligence","level":3,"score":0.3107999861240387},{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.27619999647140503},{"id":"https://openalex.org/C20162079","wikidata":"https://www.wikidata.org/wiki/Q1151406","display_name":"Case-based reasoning","level":2,"score":0.2721000015735626}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.15972","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.15972","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.2604.15972","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.15972","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":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"LLM-driven":[0],"multi-agent":[1,68,197],"frameworks":[2],"address":[3,57],"complex":[4],"reasoning":[5,16,142,173],"tasks":[6],"through":[7,24],"multi-role":[8],"collaboration.":[9],"However,":[10],"existing":[11],"approaches":[12],"often":[13],"suffer":[14],"from":[15,110],"instability,":[17],"where":[18,117],"individual":[19],"agent":[20,85,114,119],"errors":[21],"are":[22,90],"amplified":[23],"collaboration,":[25],"undermining":[26],"overall":[27],"performance.":[28],"Current":[29],"research":[30],"mainly":[31],"focuses":[32],"on":[33,98,172],"enhancing":[34],"high-capability":[35],"agents":[36,52],"or":[37],"suppressing":[38],"unreliable":[39],"outputs":[40],"to":[41,113,144,152,156],"improve":[42],"framework":[43,66,177],"effectiveness,":[44],"while":[45,175],"systematic":[46],"identification":[47],"and":[48,70,92,179],"reinforcement":[49],"of":[50,170,196],"performance-limiting":[51],"receive":[53],"less":[54],"attention.":[55],"To":[56],"this":[58],"gap,":[59],"we":[60],"propose":[61],"WORC,":[62],"a":[63,79,93],"\\underline{w}eak-link":[64],"\\underline{o}ptimization":[65],"for":[67,158,185],"\\underline{r}easoning":[69],"\\underline{c}ollaboration,":[71],"grounded":[72],"in":[73],"the":[74,83,118,121,128,132,194],"weak-link":[75,133],"principle.":[76],"WORC":[77,165],"follows":[78],"two-stage":[80],"workflow.":[81],"In":[82,131],"weak":[84,129,145,186],"localization":[86],"stage,":[87,135],"task":[88],"features":[89,112],"constructed,":[91],"meta-learning-based":[94],"weight":[95,124],"predictor":[96],"trained":[97],"optimal":[99],"configurations":[100],"identified":[101,126],"by":[102],"swarm":[103],"intelligence":[104],"algorithms":[105],"(SIAs)":[106],"enables":[107],"zero-shot":[108],"mapping":[109],"these":[111],"performance":[115],"weights,":[116],"with":[120,147],"lowest":[122],"predicted":[123,149],"is":[125],"as":[127],"agent.":[130],"optimization":[134],"an":[136,167],"uncertainty-driven":[137],"allocation":[138],"strategy":[139],"assigns":[140],"additional":[141],"budgets":[143],"agents,":[146],"lower":[148],"weights":[150],"leading":[151],"larger":[153],"repeated-sampling":[154],"quotas":[155],"compensate":[157],"reliability":[159],"deficiencies.":[160],"Experimental":[161],"results":[162],"show":[163],"that":[164,183],"achieves":[166],"average":[168],"accuracy":[169],"82.2\\%":[171],"benchmarks":[174],"improving":[176],"stability":[178],"cross-architecture":[180],"generalization,":[181],"suggesting":[182],"compensating":[184],"links,":[187],"rather":[188],"than":[189],"reinforcing":[190],"strengths":[191],"alone,":[192],"enhances":[193],"robustness":[195],"systems.":[198]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-04-21T00:00:00"}