{"id":"https://openalex.org/W4412944790","doi":"https://doi.org/10.18653/v1/2025.acl-long.1170","title":"AgentDropout: Dynamic Agent Elimination for Token-Efficient and High-Performance LLM-Based Multi-Agent Collaboration","display_name":"AgentDropout: Dynamic Agent Elimination for Token-Efficient and High-Performance LLM-Based Multi-Agent Collaboration","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4412944790","doi":"https://doi.org/10.18653/v1/2025.acl-long.1170"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2025.acl-long.1170","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.acl-long.1170","pdf_url":"https://aclanthology.org/2025.acl-long.1170.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":"Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2025.acl-long.1170.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026411767","display_name":"Zhexuan Wang","orcid":"https://orcid.org/0000-0002-4472-3206"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhexuan Wang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100631533","display_name":"Yutong Wang","orcid":"https://orcid.org/0009-0002-2346-189X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yutong Wang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029551526","display_name":"Xuebo Liu","orcid":"https://orcid.org/0000-0001-6370-2868"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xuebo Liu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113438097","display_name":"Liang Ding","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liang Ding","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100376471","display_name":"Miao Zhang","orcid":"https://orcid.org/0000-0002-3242-5957"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Miao Zhang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100454196","display_name":"Jie Liu","orcid":"https://orcid.org/0000-0003-2046-3021"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jie Liu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5100402983","display_name":"Min Zhang","orcid":"https://orcid.org/0000-0003-1938-2902"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Min Zhang","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":true,"cited_by_count":9,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"24013","last_page":"24035"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10456","display_name":"Multi-Agent Systems and Negotiation","score":0.9699000120162964,"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/T10456","display_name":"Multi-Agent Systems and Negotiation","score":0.9699000120162964,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9560999870300293,"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/T10703","display_name":"Business Process Modeling and Analysis","score":0.9534000158309937,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/security-token","display_name":"Security token","score":0.7874425649642944},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.73524010181427},{"id":"https://openalex.org/keywords/multi-agent-system","display_name":"Multi-agent system","score":0.5121500492095947},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3803443908691406},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3600252866744995},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.15444272756576538}],"concepts":[{"id":"https://openalex.org/C48145219","wikidata":"https://www.wikidata.org/wiki/Q1335365","display_name":"Security token","level":2,"score":0.7874425649642944},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.73524010181427},{"id":"https://openalex.org/C41550386","wikidata":"https://www.wikidata.org/wiki/Q529909","display_name":"Multi-agent system","level":2,"score":0.5121500492095947},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3803443908691406},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3600252866744995},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15444272756576538}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2025.acl-long.1170","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.acl-long.1170","pdf_url":"https://aclanthology.org/2025.acl-long.1170.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":"Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2025.acl-long.1170","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.acl-long.1170","pdf_url":"https://aclanthology.org/2025.acl-long.1170.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":"Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2618743295","display_name":null,"funder_award_id":"62206076","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3995479632","display_name":null,"funder_award_id":"KJZD20231023094700001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5662869619","display_name":null,"funder_award_id":"2024A1515011491","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412944790.pdf","grobid_xml":"https://content.openalex.org/works/W4412944790.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4388335561","https://openalex.org/W2970530566","https://openalex.org/W4288261899","https://openalex.org/W4307309205","https://openalex.org/W2967478618","https://openalex.org/W4385009901","https://openalex.org/W4385572700"],"abstract_inverted_index":{"Multi-agent":[0],"systems":[1],"(MAS)":[2],"based":[3],"on":[4,114],"large":[5],"language":[6],"models":[7],"(LLMs)":[8],"have":[9],"demonstrated":[10],"significant":[11],"potential":[12],"in":[13,46,97,103],"collaborative":[14],"problemsolving.However,":[15],"they":[16],"still":[17],"face":[18],"substantial":[19],"challenges":[20],"of":[21,33,72,95,112],"low":[22],"communication":[23,36,62,65,74],"efficiency":[24,83],"and":[25,61,76,84,101,127,133],"suboptimal":[26],"task":[27,85],"performance,":[28],"making":[29],"the":[30,34,41,69,73,115,117],"careful":[31],"design":[32],"agents'":[35],"topologies":[37],"particularly":[38],"important.Inspired":[39],"by":[40,67],"management":[42],"theory":[43],"that":[44,121],"roles":[45],"an":[47,92],"efficient":[48],"team":[49],"are":[50],"often":[51],"dynamically":[52],"adjusted,":[53],"we":[54],"propose":[55],"AgentDropout,":[56],"which":[57],"identifies":[58],"redundant":[59],"agents":[60],"across":[63],"different":[64],"rounds":[66],"optimizing":[68],"adjacency":[70],"matrices":[71],"graphs":[75],"eliminates":[77],"them":[78],"to":[79,87],"enhance":[80],"both":[81],"token":[82,99,105],"performance.Compared":[86],"state-of-the-art":[88],"methods,":[89],"AgentDropout":[90,122],"achieves":[91,123],"average":[93],"reduction":[94],"21.6%":[96],"prompt":[98],"consumption":[100],"18.4%":[102],"completion":[104],"consumption,":[106],"along":[107],"with":[108],"a":[109],"performance":[110],"improvement":[111],"1.14":[113],"tasks.Furthermore,":[116],"extended":[118],"experiments":[119],"demonstrate":[120],"notable":[124],"domain":[125],"transferability":[126],"structure":[128],"robustness,":[129],"revealing":[130],"its":[131],"reliability":[132],"effectiveness.We":[134],"release":[135],"our":[136],"code":[137],"at":[138],"https://github.":[139],"com/wangzx1219/AgentDropout.":[140]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
