{"id":"https://openalex.org/W4400526764","doi":"https://doi.org/10.1145/3626772.3657824","title":"MTMS: Multi-teacher Multi-stage Knowledge Distillation for Reasoning-Based Machine Reading Comprehension","display_name":"MTMS: Multi-teacher Multi-stage Knowledge Distillation for Reasoning-Based Machine Reading Comprehension","publication_year":2024,"publication_date":"2024-07-10","ids":{"openalex":"https://openalex.org/W4400526764","doi":"https://doi.org/10.1145/3626772.3657824"},"language":"en","primary_location":{"id":"doi:10.1145/3626772.3657824","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3626772.3657824","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101461561","display_name":"Zhuo Zhao","orcid":"https://orcid.org/0000-0003-0907-3620"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhuo Zhao","raw_affiliation_strings":["Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, China, Hubei, China"],"raw_orcid":"https://orcid.org/0000-0003-0907-3620","affiliations":[{"raw_affiliation_string":"Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, China, Hubei, China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101705596","display_name":"Zhiwen Xie","orcid":"https://orcid.org/0000-0003-0837-3285"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiwen Xie","raw_affiliation_strings":["Hubei Provincial Key Laboratory of Artificial Intelligence and Smart Learning &amp; School of Computer, Central China Normal University, Wuhan, Hubei, China"],"raw_orcid":"https://orcid.org/0000-0003-0837-3285","affiliations":[{"raw_affiliation_string":"Hubei Provincial Key Laboratory of Artificial Intelligence and Smart Learning &amp; School of Computer, Central China Normal University, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007102035","display_name":"Guangyou Zhou","orcid":"https://orcid.org/0000-0002-7675-6619"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangyou Zhou","raw_affiliation_strings":["Hubei Provincial Key Laboratory of Artificial Intelligence and Smart Learning &amp; School of Computer, Central China Normal University, Wuhan, Hubei, China"],"raw_orcid":"https://orcid.org/0000-0002-7675-6619","affiliations":[{"raw_affiliation_string":"Hubei Provincial Key Laboratory of Artificial Intelligence and Smart Learning &amp; School of Computer, Central China Normal University, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000409439","display_name":"Jimmy Xiangji Huang","orcid":"https://orcid.org/0000-0003-1292-1491"},"institutions":[{"id":"https://openalex.org/I192455969","display_name":"York University","ror":"https://ror.org/05fq50484","country_code":"CA","type":"education","lineage":["https://openalex.org/I192455969"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jimmy Xiangji Huang","raw_affiliation_strings":["Information Retrieval and Knowledge Management Research Lab, York University, Toronto, Ontario, Canada"],"raw_orcid":"https://orcid.org/0000-0003-1292-1491","affiliations":[{"raw_affiliation_string":"Information Retrieval and Knowledge Management Research Lab, York University, Toronto, Ontario, Canada","institution_ids":["https://openalex.org/I192455969"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1995","last_page":"2005"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9861000180244446,"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":0.9861000180244446,"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/T11902","display_name":"Intelligent Tutoring Systems and Adaptive Learning","score":0.984499990940094,"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":0.9509999752044678,"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":0.7678782343864441},{"id":"https://openalex.org/keywords/distillation","display_name":"Distillation","score":0.6218999624252319},{"id":"https://openalex.org/keywords/comprehension","display_name":"Comprehension","score":0.5794563889503479},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5252030491828918},{"id":"https://openalex.org/keywords/reading","display_name":"Reading (process)","score":0.5015106201171875},{"id":"https://openalex.org/keywords/reading-comprehension","display_name":"Reading comprehension","score":0.48993557691574097},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4550952613353729},{"id":"https://openalex.org/keywords/stage","display_name":"Stage (stratigraphy)","score":0.44861143827438354},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.23220282793045044},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.10796719789505005},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.07939597964286804}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7678782343864441},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.6218999624252319},{"id":"https://openalex.org/C511192102","wikidata":"https://www.wikidata.org/wiki/Q5156948","display_name":"Comprehension","level":2,"score":0.5794563889503479},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5252030491828918},{"id":"https://openalex.org/C554936623","wikidata":"https://www.wikidata.org/wiki/Q199657","display_name":"Reading (process)","level":2,"score":0.5015106201171875},{"id":"https://openalex.org/C2778780117","wikidata":"https://www.wikidata.org/wiki/Q3269423","display_name":"Reading comprehension","level":3,"score":0.48993557691574097},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4550952613353729},{"id":"https://openalex.org/C146357865","wikidata":"https://www.wikidata.org/wiki/Q1123245","display_name":"Stage (stratigraphy)","level":2,"score":0.44861143827438354},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.23220282793045044},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.10796719789505005},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.07939597964286804},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3626772.3657824","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3626772.3657824","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.8600000143051147}],"awards":[],"funders":[{"id":"https://openalex.org/F4320323817","display_name":"Universitas Brawijaya","ror":"https://ror.org/01wk3d929"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1902041153","https://openalex.org/W2928560789","https://openalex.org/W2963122961","https://openalex.org/W2979826702","https://openalex.org/W2998702685","https://openalex.org/W3002072934","https://openalex.org/W3034368386","https://openalex.org/W3037195933","https://openalex.org/W3138154797","https://openalex.org/W3156844209","https://openalex.org/W3163322517","https://openalex.org/W3171446474","https://openalex.org/W4200225523","https://openalex.org/W4214524539","https://openalex.org/W4221154651","https://openalex.org/W4225386295","https://openalex.org/W4226029051","https://openalex.org/W4283815570","https://openalex.org/W4285220249","https://openalex.org/W4285254610","https://openalex.org/W4286253308","https://openalex.org/W4287854734","https://openalex.org/W4309483299","https://openalex.org/W4319431571","https://openalex.org/W4323520186","https://openalex.org/W4372269246","https://openalex.org/W4385571738","https://openalex.org/W4387968184","https://openalex.org/W4389611328","https://openalex.org/W4394877201","https://openalex.org/W6600424091"],"related_works":["https://openalex.org/W2329386257","https://openalex.org/W2503350049","https://openalex.org/W2082438799","https://openalex.org/W1966986837","https://openalex.org/W2360138227","https://openalex.org/W4365808155","https://openalex.org/W2082296339","https://openalex.org/W2161828220","https://openalex.org/W1972348076","https://openalex.org/W2083863157"],"abstract_inverted_index":{"As":[0],"the":[1,21,118,163,166,184,191,196,221,227],"field":[2],"of":[3,72,105,121,162],"machine":[4],"reading":[5],"comprehension":[6],"(MRC)":[7],"continues":[8],"to":[9,78,86,155],"evolve,":[10],"it":[11],"is":[12],"unlocking":[13],"enormous":[14],"potential":[15],"for":[16,60,96],"its":[17],"practical":[18],"application.":[19],"However,":[20,84],"currently":[22],"well-performing":[23],"models":[24,31,47,74,80,93],"predominantly":[25],"rely":[26],"on":[27,125,203],"massive":[28],"pre-trained":[29],"language":[30],"with":[32,99,190,220],"at":[33],"least":[34],"several":[35],"hundred":[36,42],"million":[37],"or":[38],"even":[39],"over":[40],"one":[41],"billion":[43],"parameters.":[44],"These":[45],"complex":[46,100],"not":[48],"only":[49],"require":[50],"immense":[51],"computational":[52],"power":[53],"but":[54],"also":[55],"extensive":[56],"storage,":[57],"presenting":[58],"challenges":[59],"resource-limited":[61],"environments":[62],"such":[63],"as":[64],"online":[65],"education.Current":[66],"research":[67],"indicates":[68],"that":[69,141,211],"specific":[70],"capabilities":[71],"larger":[73],"can":[75,187],"be":[76],"transferred":[77],"smaller":[79],"through":[81],"knowledge":[82],"distillation.":[83],"prior":[85],"our":[87],"work,":[88],"there":[89],"were":[90],"no":[91],"small":[92],"specifically":[94],"designed":[95],"MRC":[97,123],"task":[98,124],"reasoning":[101],"abilities.":[102],"In":[103,132],"light":[104],"this,":[106],"we":[107,135,174],"present":[108],"a":[109,137,144,148,176],"novel":[110],"multi-teacher":[111,138],"multi-stage":[112,177],"distillation":[113,139],"approach,":[114],"MTMS.":[115],"It":[116],"facilitates":[117],"easier":[119],"deployment":[120],"reasoning-based":[122],"resource-constrained":[126],"devices,":[127],"thereby":[128],"enabling":[129],"effective":[130],"applications.":[131],"this":[133,182],"method,":[134],"design":[136],"framework":[140,152],"includes":[142],"both":[143],"logical":[145],"teacher":[146,192,222],"and":[147],"semantic":[149],"teacher.":[150],"This":[151],"allows":[153],"MTMS":[154,212],"simultaneously":[156],"extract":[157],"features":[158],"from":[159,207],"different":[160],"perspectives":[161],"text,":[164],"mitigating":[165],"limitations":[167],"inherent":[168],"in":[169],"single-teacher":[170],"information":[171],"representations.":[172],"Furthermore,":[173],"introduce":[175],"contrastive":[178],"learning":[179],"strategy.":[180],"Through":[181],"strategy,":[183],"student":[185],"model":[186,223],"progressively":[188],"align":[189],"models,":[193],"effectively":[194],"bridging":[195],"gap":[197],"between":[198],"them.":[199],"Extensive":[200],"experimental":[201],"outcomes":[202],"two":[204],"inference-based":[205],"datasets":[206],"real-world":[208],"scenarios":[209],"demonstrate":[210],"requires":[213],"nearly":[214],"10":[215],"times":[216],"fewer":[217],"parameters":[218],"compared":[219],"size":[224],"while":[225],"achieving":[226],"competitive":[228],"performance.":[229]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":8}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
