{"id":"https://openalex.org/W4406611484","doi":"https://doi.org/10.1109/smc54092.2024.10831397","title":"MJR: Multi-Head Joint Reasoning on Language Models for Question Answering","display_name":"MJR: Multi-Head Joint Reasoning on Language Models for Question Answering","publication_year":2024,"publication_date":"2024-10-06","ids":{"openalex":"https://openalex.org/W4406611484","doi":"https://doi.org/10.1109/smc54092.2024.10831397"},"language":"en","primary_location":{"id":"doi:10.1109/smc54092.2024.10831397","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc54092.2024.10831397","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5112990023","display_name":"Shunhao Li","orcid":null},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shunhao Li","raw_affiliation_strings":["School of Computer Science, South China Normal University,Guangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, South China Normal University,Guangzhou,China","institution_ids":["https://openalex.org/I187400657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100696894","display_name":"Jiale Chen","orcid":"https://orcid.org/0000-0001-5337-5875"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiale Chen","raw_affiliation_strings":["School of Computer Science, South China Normal University,Guangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, South China Normal University,Guangzhou,China","institution_ids":["https://openalex.org/I187400657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086542214","display_name":"Enliang Yan","orcid":null},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Enliang Yan","raw_affiliation_strings":["School of Artificial Intelligence, South China Normal University,Guangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, South China Normal University,Guangzhou,China","institution_ids":["https://openalex.org/I187400657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054304362","display_name":"Choujun Zhan","orcid":"https://orcid.org/0000-0002-1445-3559"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Choujun Zhan","raw_affiliation_strings":["School of Computer Science, South China Normal University,Guangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, South China Normal University,Guangzhou,China","institution_ids":["https://openalex.org/I187400657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072482402","display_name":"Fu Lee Wang","orcid":"https://orcid.org/0000-0002-3976-0053"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Fu Lee Wang","raw_affiliation_strings":["Hong Kong Metropolitan University,Hong Kong,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hong Kong Metropolitan University,Hong Kong,China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5114052682","display_name":"Tianyong Hao","orcid":null},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianyong Hao","raw_affiliation_strings":["School of Computer Science, South China Normal University,Guangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, South China Normal University,Guangzhou,China","institution_ids":["https://openalex.org/I187400657"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.22355299,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1089","last_page":"1094"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9943000078201294,"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/T10028","display_name":"Topic Modeling","score":0.9943000078201294,"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":0.9876999855041504,"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/T12031","display_name":"Speech and dialogue systems","score":0.9222999811172485,"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/question-answering","display_name":"Question answering","score":0.8107877969741821},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7930160760879517},{"id":"https://openalex.org/keywords/head","display_name":"Head (geology)","score":0.6824358701705933},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.6538937091827393},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5556445717811584},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5496892333030701},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07254558801651001},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.06346389651298523}],"concepts":[{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.8107877969741821},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7930160760879517},{"id":"https://openalex.org/C2780312720","wikidata":"https://www.wikidata.org/wiki/Q5689100","display_name":"Head (geology)","level":2,"score":0.6824358701705933},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.6538937091827393},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5556445717811584},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5496892333030701},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07254558801651001},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.06346389651298523},{"id":"https://openalex.org/C114793014","wikidata":"https://www.wikidata.org/wiki/Q52109","display_name":"Geomorphology","level":1,"score":0.0},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc54092.2024.10831397","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc54092.2024.10831397","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2080133951","https://openalex.org/W2561529111","https://openalex.org/W2890894339","https://openalex.org/W2953356739","https://openalex.org/W2983995706","https://openalex.org/W3095319910","https://openalex.org/W3122807568","https://openalex.org/W3162922479","https://openalex.org/W3164540570","https://openalex.org/W3172335055","https://openalex.org/W3192478068","https://openalex.org/W4381587418","https://openalex.org/W4382202590","https://openalex.org/W4382246105","https://openalex.org/W4390940912","https://openalex.org/W4392959670","https://openalex.org/W6755829550","https://openalex.org/W6784898386"],"related_works":["https://openalex.org/W2384605597","https://openalex.org/W2387743295","https://openalex.org/W3082787378","https://openalex.org/W2136007095","https://openalex.org/W2366230879","https://openalex.org/W3208425359","https://openalex.org/W2349927912","https://openalex.org/W3159777597","https://openalex.org/W4212839359","https://openalex.org/W3204019825"],"abstract_inverted_index":{"Language":[0],"Models":[1],"(LMs)":[2],"have":[3,14],"achieved":[4],"impressive":[5],"success":[6],"in":[7,90,134,165],"various":[8],"question":[9,168],"answering":[10],"(QA)":[11],"tasks":[12],"but":[13],"shown":[15],"limited":[16],"performance":[17,121],"on":[18,142],"structured":[19,35],"reasoning.":[20],"Recent":[21],"research":[22],"suggests":[23],"that":[24],"Knowledge":[25],"Graph":[26],"(KG)":[27],"can":[28],"augment":[29],"text":[30,132],"data":[31],"by":[32],"providing":[33],"a":[34,65,96],"background":[36],"to":[37,45,68,101],"enhance":[38],"reasoning":[39,114,166],"capabilities":[40],"of":[41,72,81,124,127,156],"LMs.":[42],"Therefore,":[43],"how":[44],"integrate":[46,69],"and":[47,52,74,105,113,122,148,162],"reason":[48],"over":[49,158],"KG":[50],"representations":[51,71,89],"language":[53,111,129],"context":[54],"remains":[55],"an":[56],"open":[57],"question.":[58],"In":[59,116],"this":[60],"work,":[61],"we":[62,118],"propose":[63],"MJR,":[64],"novel":[66],"model":[67,141],"encoded":[70],"LMs":[73],"graph":[75,106],"neural":[76],"network":[77],"through":[78],"multiple":[79],"layers":[80],"feature":[82,88],"interaction":[83],"operations.":[84],"Subsequently,":[85],"the":[86,120,135,154],"fused":[87],"two":[91],"modalities":[92],"are":[93],"fed":[94],"into":[95],"multi-head":[97],"representation":[98],"fusion":[99],"module":[100],"comprehensively":[102],"capture":[103],"semantic":[104],"structure":[107],"information,":[108],"thereby":[109],"enhancing":[110],"understanding":[112],"capabilities.":[115],"addition,":[117],"investigate":[119],"applicability":[123],"different":[125],"types":[126],"large":[128],"models":[130,164],"as":[131],"encoder":[133],"question-answering":[136],"task.":[137],"We":[138],"evaluate":[139],"our":[140],"three":[143],"common":[144],"dataset:":[145],"CommonsenseQA,":[146],"OpenBookQA,":[147],"MedQA-USMLE":[149],"datasets.":[150],"The":[151],"results":[152],"demonstrate":[153],"advancements":[155],"MJR":[157],"existing":[159],"LMs,":[160],"LM+KG":[161],"LLMs":[163],"for":[167],"answering.":[169]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
