{"id":"https://openalex.org/W4402671543","doi":"https://doi.org/10.18653/v1/2024.acl-long.381","title":"ReConcile: Round-Table Conference Improves Reasoning via Consensus among Diverse LLMs","display_name":"ReConcile: Round-Table Conference Improves Reasoning via Consensus among Diverse LLMs","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4402671543","doi":"https://doi.org/10.18653/v1/2024.acl-long.381"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2024.acl-long.381","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2024.acl-long.381","pdf_url":"https://aclanthology.org/2024.acl-long.381.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 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2024.acl-long.381.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5108907869","display_name":"Justin Chen","orcid":"https://orcid.org/0000-0001-9818-399X"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Justin Chen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057314288","display_name":"Swarnadeep Saha","orcid":"https://orcid.org/0000-0002-6972-3448"},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]},{"id":"https://openalex.org/I1333535994","display_name":"University of North Carolina Health Care","ror":"https://ror.org/00qz24g20","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1333535994"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Swarnadeep Saha","raw_affiliation_strings":["UNC Chapel Hill"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UNC Chapel Hill","institution_ids":["https://openalex.org/I1333535994","https://openalex.org/I114027177"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001987532","display_name":"Mohit Bansal","orcid":"https://orcid.org/0000-0001-5522-1351"},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]},{"id":"https://openalex.org/I1333535994","display_name":"University of North Carolina Health Care","ror":"https://ror.org/00qz24g20","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1333535994"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohit Bansal","raw_affiliation_strings":["UNC Chapel Hill"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UNC Chapel Hill","institution_ids":["https://openalex.org/I1333535994","https://openalex.org/I114027177"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5108907869"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":10.7382,"has_fulltext":true,"cited_by_count":34,"citation_normalized_percentile":{"value":0.98668715,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"7066","last_page":"7085"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9901000261306763,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9901000261306763,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9387000203132629,"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/computer-science","display_name":"Computer science","score":0.5121183395385742},{"id":"https://openalex.org/keywords/table","display_name":"Table (database)","score":0.48606255650520325},{"id":"https://openalex.org/keywords/round-table","display_name":"Round table","score":0.4755361080169678},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.15575706958770752},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.10989606380462646}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5121183395385742},{"id":"https://openalex.org/C45235069","wikidata":"https://www.wikidata.org/wiki/Q278425","display_name":"Table (database)","level":2,"score":0.48606255650520325},{"id":"https://openalex.org/C2993049073","wikidata":"https://www.wikidata.org/wiki/Q395172","display_name":"Round table","level":3,"score":0.4755361080169678},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.15575706958770752},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.10989606380462646},{"id":"https://openalex.org/C2779182362","wikidata":"https://www.wikidata.org/wiki/Q17126187","display_name":"Session (web analytics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2024.acl-long.381","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2024.acl-long.381","pdf_url":"https://aclanthology.org/2024.acl-long.381.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 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2024.acl-long.381","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2024.acl-long.381","pdf_url":"https://aclanthology.org/2024.acl-long.381.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 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5643777851","display_name":null,"funder_award_id":"DRL-2112635","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G572880119","display_name":null,"funder_award_id":"1846185","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G580734012","display_name":null,"funder_award_id":"2112635","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6671297155","display_name":null,"funder_award_id":"CAREER","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7357862116","display_name":null,"funder_award_id":"N66001-19-2-4031","funder_id":"https://openalex.org/F4320332180","funder_display_name":"Defense Advanced Research Projects Agency"},{"id":"https://openalex.org/G8215844777","display_name":null,"funder_award_id":"N66001-19","funder_id":"https://openalex.org/F4320332180","funder_display_name":"Defense Advanced Research Projects Agency"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4402671543.pdf","grobid_xml":"https://content.openalex.org/works/W4402671543.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4394360958","https://openalex.org/W4396696052","https://openalex.org/W2013901020"],"abstract_inverted_index":{"Large":[0],"Language":[1],"Models":[2],"(LLMs)":[3],"still":[4],"struggle":[5],"with":[6,192],"natural":[7],"language":[8],"reasoning":[9,37,119],"tasks.Motivated":[10],"by":[11,87,132],"the":[12,91,165,172],"society":[13],"of":[14,44,80,101,148,168],"minds":[15],"(Minsky,":[16],"1988),":[17],"we":[18,163],"propose":[19],"RECONCILE,":[20,169],"a":[21,27,57,64,75,124],"multi-model":[22],"multiagent":[23],"framework":[24],"designed":[25],"as":[26,123],"round":[28],"table":[29],"conference":[30],"among":[31],"diverse":[32],"LLM":[33,39],"agents.RECON-CILE":[34],"enhances":[35],"collaborative":[36],"between":[38,72],"agents":[40,50,73],"via":[41,74],"multiple":[42],"rounds":[43],"discussion,":[45],"learning":[46],"to":[47,51,63,134,157,180],"convince":[48],"other":[49,108],"improve":[52],"their":[53,95],"answers,":[54],"and":[55,84,98,122,129,136,153],"employing":[56],"confidenceweighted":[58],"voting":[59],"mechanism":[60],"that":[61,78,114,171],"leads":[62],"better":[65],"consensus.In":[66],"each":[67,88],"round,":[68,93],"RECONCILE":[69,115],"initiates":[70],"discussion":[71],"'discussion":[76],"prompt'":[77],"consists":[79],"(a)":[81],"grouped":[82],"answers":[83],"explanations":[85],"generated":[86],"agent":[89],"in":[90],"previous":[92],"(b)":[94],"confidence":[96,194],"scores,":[97],"(c)":[99],"demonstrations":[100],"answerrectifying":[102],"human":[103],"explanations,":[104],"used":[105],"for":[106],"convincing":[107],"agents.Experiments":[109],"on":[110,140,161],"seven":[111],"benchmarks":[112],"demonstrate":[113],"significantly":[116],"improves":[117],"LLMs'":[118],"-both":[120],"individually":[121],"team":[125],"-surpassing":[126],"prior":[127],"single-agent":[128],"multi-agent":[130],"baselines":[131],"up":[133],"11.4%":[135],"even":[137],"outperforming":[138],"GPT-4":[139],"three":[141],"datasets.RECONCILE":[142],"also":[143],"flexibly":[144],"incorporates":[145],"different":[146,176],"combinations":[147],"agents,":[149],"including":[150],"API-based,":[151],"open-source,":[152],"domainspecific":[154],"models,":[155],"leading":[156],"an":[158],"8%":[159],"improvement":[160],"MATH.Finally,":[162],"analyze":[164],"individual":[166],"components":[167],"demonstrating":[170],"diversity":[173],"originating":[174],"from":[175],"models":[177],"is":[178],"critical":[179],"its":[181],"superior":[182],"performance.":[183],"1":[184],"Self-Refine":[185],"MAD+Judge":[186],"Multi-Agent":[187],"Debate":[188],"(MAD)":[189],"ReConcile":[190],"(Group-Discuss-and-Convince)Yes,":[191],"95%":[193]},"counts_by_year":[{"year":2026,"cited_by_count":11},{"year":2025,"cited_by_count":19},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}