{"id":"https://openalex.org/W7166891681","doi":"https://doi.org/10.18653/v1/2026.findings-acl.1258","title":"EvoHyper: Evolving Hypergraph Topologies for Unified Collaboration in Multi-Agent Communication","display_name":"EvoHyper: Evolving Hypergraph Topologies for Unified Collaboration in Multi-Agent Communication","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7166891681","doi":"https://doi.org/10.18653/v1/2026.findings-acl.1258"},"language":null,"primary_location":{"id":"doi:10.18653/v1/2026.findings-acl.1258","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.findings-acl.1258","pdf_url":"https://aclanthology.org/2026.findings-acl.1258.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Findings of the Association for Computational Linguistics: ACL 2026","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2026.findings-acl.1258.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5139795297","display_name":"Heng Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Heng Zhang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078354232","display_name":"Yihao Zhong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yihao Zhong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112603131","display_name":"Lizhao Gan","orcid":"https://orcid.org/0009-0004-4290-0995"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lubin Gan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139751300","display_name":"Zhihe Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhihe Chen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139740018","display_name":"Jiajun Wu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiajun Wu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139803346","display_name":"Yuling Shi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuling Shi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139771290","display_name":"Xiaodong Gu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaodong Gu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139748786","display_name":"Hao Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hao Zhang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139790605","display_name":"Haochen You","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Haochen You","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5139852887","display_name":"Jin Huang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jin Huang","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":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.88598561,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"25130","last_page":"25143"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.17170000076293945,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.17170000076293945,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.1080000028014183,"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/T11596","display_name":"Constraint Satisfaction and Optimization","score":0.0925000011920929,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hypergraph","display_name":"Hypergraph","score":0.5274999737739563},{"id":"https://openalex.org/keywords/network-topology","display_name":"Network topology","score":0.5095999836921692},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.288100004196167},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.28189998865127563},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.2727999985218048},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.2646999955177307}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6184999942779541},{"id":"https://openalex.org/C2781221856","wikidata":"https://www.wikidata.org/wiki/Q840247","display_name":"Hypergraph","level":2,"score":0.5274999737739563},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.5095999836921692},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.47290000319480896},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.31839999556541443},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3142000138759613},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.288100004196167},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.28189998865127563},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.2727999985218048},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.2646999955177307},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.2615000009536743},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.2542000114917755},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.2531999945640564}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2026.findings-acl.1258","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.findings-acl.1258","pdf_url":"https://aclanthology.org/2026.findings-acl.1258.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Findings of the Association for Computational Linguistics: ACL 2026","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2026.findings-acl.1258","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.findings-acl.1258","pdf_url":"https://aclanthology.org/2026.findings-acl.1258.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Findings of the Association for Computational Linguistics: ACL 2026","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7166891681.pdf","grobid_xml":"https://content.openalex.org/works/W7166891681.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Multi-agent":[0],"systems":[1,48],"powered":[2],"by":[3,165],"large":[4],"language":[5],"models":[6],"have":[7],"achieved":[8],"strong":[9],"performance":[10],"on":[11,76,136],"complex":[12],"tasks,":[13],"yet":[14],"naive":[15],"collaboration":[16,35,99,126],"topologies":[17],"often":[18],"cause":[19],"high":[20],"communication":[21,31],"costs":[22],"and":[23,33,37,65,90,93,131,142,169],"redundant":[24],"context.Existing":[25],"methods":[26],"usually":[27],"use":[28],"a":[29,73,85,98,103,112,118],"fixed":[30],"graph":[32],"manage":[34],"structure":[36],"shared":[38,91,109],"memory":[39,64],"in":[40,62],"separate":[41],"modules.Our":[42],"log":[43],"analysis":[44],"of":[45,57,105,121],"several":[46],"representative":[47],"shows":[49],"that":[50,101,108,146],"this":[51,69],"separation":[52],"leads":[53],"to":[54,107,153,167,176],"multiple":[55],"copies":[56],"the":[58,115],"same":[59],"key":[60],"facts":[61],"dialogue,":[63],"model":[66],"inputs.We":[67],"address":[68],"issue":[70],"with":[71],"EvoHyper,":[72,84],"framework":[74],"based":[75],"an":[77],"evolving":[78],"hypergraph":[79,87,116],"topology":[80,173],"for":[81],"multi-agent":[82],"collaboration.In":[83],"single":[86],"represents":[88],"agents":[89,106],"memory,":[92],"each":[94],"hyperedge":[95],"serves":[96],"as":[97,133],"unit":[100],"binds":[102],"group":[104],"memory.During":[110],"execution":[111],"controller":[113],"edits":[114],"through":[117],"small":[119],"set":[120],"predefined":[122],"evolution":[123],"operations,":[124],"so":[125],"units":[127],"can":[128],"spawn,":[129],"update":[130],"merge":[132],"tasks":[134],"unfold.Experiments":[135],"four":[137],"benchmarks":[138],"covering":[139],"mathematical":[140],"reasoning":[141],"code":[143],"generation":[144],"show":[145],"EvoHyper":[147],"is":[148],"(I)":[149],"high-performing,":[150],"achieving":[151],"3.2%":[152],"7.8%":[154],"accuracy":[155],"gains":[156],"over":[157],"state-ofthe-art":[158],"methods,":[159],"(II)":[160],"efficient,":[161],"reducing":[162],"token":[163],"consumption":[164],"up":[166],"23.5%,":[168],"(III)":[170],"adaptive,":[171],"adjusting":[172],"complexity":[174],"according":[175],"task":[177],"requirements.":[178]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-07-02T00:00:00"}
