{"id":"https://openalex.org/W7118180290","doi":"https://doi.org/10.1109/aiccsa66935.2025.11315185","title":"Mitigating the Capacity Gap in Knowledge Distillation via Iterative Tutoring","display_name":"Mitigating the Capacity Gap in Knowledge Distillation via Iterative Tutoring","publication_year":2025,"publication_date":"2025-10-19","ids":{"openalex":"https://openalex.org/W7118180290","doi":"https://doi.org/10.1109/aiccsa66935.2025.11315185"},"language":null,"primary_location":{"id":"doi:10.1109/aiccsa66935.2025.11315185","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aiccsa66935.2025.11315185","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/ACS 22nd International Conference on Computer Systems and Applications (AICCSA)","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/A5042718039","display_name":"Sara Karam","orcid":null},"institutions":[{"id":"https://openalex.org/I56306041","display_name":"Lebanese American University","ror":"https://ror.org/00hqkan37","country_code":"LB","type":"education","lineage":["https://openalex.org/I56306041"]}],"countries":["LB"],"is_corresponding":false,"raw_author_name":"Sara Karam","raw_affiliation_strings":["Lebanese American University,E.C.E. department,Byblos,Lebanon"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lebanese American University,E.C.E. department,Byblos,Lebanon","institution_ids":["https://openalex.org/I56306041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5117607061","display_name":"Ralph Aouad","orcid":null},"institutions":[{"id":"https://openalex.org/I4210138457","display_name":"Islamic University of Lebanon","ror":"https://ror.org/040eqhp13","country_code":"LB","type":"education","lineage":["https://openalex.org/I4210138457"]}],"countries":["LB"],"is_corresponding":false,"raw_author_name":"Ralph Aouad","raw_affiliation_strings":["InMind.ai,R&#x0026;I department,Beirut,Lebanon"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"InMind.ai,R&#x0026;I department,Beirut,Lebanon","institution_ids":["https://openalex.org/I4210138457"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065972642","display_name":"Joseph Attieh","orcid":"https://orcid.org/0000-0001-6841-9877"},"institutions":[{"id":"https://openalex.org/I133731052","display_name":"University of Helsinki","ror":"https://ror.org/040af2s02","country_code":"FI","type":"education","lineage":["https://openalex.org/I133731052"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Joseph Attieh","raw_affiliation_strings":["University of Helsinki,Dept. of Digital Humanities,Helsinki,Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Helsinki,Dept. of Digital Humanities,Helsinki,Finland","institution_ids":["https://openalex.org/I133731052"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088417940","display_name":"Joe Tekli","orcid":"https://orcid.org/0000-0003-3441-7974"},"institutions":[{"id":"https://openalex.org/I56306041","display_name":"Lebanese American University","ror":"https://ror.org/00hqkan37","country_code":"LB","type":"education","lineage":["https://openalex.org/I56306041"]}],"countries":["LB"],"is_corresponding":false,"raw_author_name":"Joe Tekli","raw_affiliation_strings":["Lebanese American University,E.C.E. department,Byblos,Lebanon"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lebanese American University,E.C.E. department,Byblos,Lebanon","institution_ids":["https://openalex.org/I56306041"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11902","display_name":"Intelligent Tutoring Systems and Adaptive Learning","score":0.5164999961853027,"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/T11902","display_name":"Intelligent Tutoring Systems and Adaptive Learning","score":0.5164999961853027,"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/T10028","display_name":"Topic Modeling","score":0.13120000064373016,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.06629999727010727,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6090999841690063},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.579200029373169},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.5170000195503235},{"id":"https://openalex.org/keywords/distillation","display_name":"Distillation","score":0.5126000046730042},{"id":"https://openalex.org/keywords/tutor","display_name":"TUTOR","score":0.49239999055862427},{"id":"https://openalex.org/keywords/iterative-and-incremental-development","display_name":"Iterative and incremental development","score":0.328000009059906},{"id":"https://openalex.org/keywords/empirical-research","display_name":"Empirical research","score":0.31220000982284546}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6912000179290771},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6090999841690063},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.579200029373169},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.5170000195503235},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.5126000046730042},{"id":"https://openalex.org/C2778371403","wikidata":"https://www.wikidata.org/wiki/Q7672049","display_name":"TUTOR","level":2,"score":0.49239999055862427},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44449999928474426},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42570000886917114},{"id":"https://openalex.org/C143587482","wikidata":"https://www.wikidata.org/wiki/Q1543216","display_name":"Iterative and incremental development","level":2,"score":0.328000009059906},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.31220000982284546},{"id":"https://openalex.org/C2779937294","wikidata":"https://www.wikidata.org/wiki/Q5513666","display_name":"GLUE","level":2,"score":0.28700000047683716},{"id":"https://openalex.org/C2776960227","wikidata":"https://www.wikidata.org/wiki/Q2586354","display_name":"Knowledge transfer","level":2,"score":0.28529998660087585},{"id":"https://openalex.org/C22367795","wikidata":"https://www.wikidata.org/wiki/Q7625208","display_name":"Structured prediction","level":2,"score":0.275299996137619},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.263700008392334},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2623000144958496},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.2615000009536743},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.25450000166893005}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/aiccsa66935.2025.11315185","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aiccsa66935.2025.11315185","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/ACS 22nd International Conference on Computer Systems and Applications (AICCSA)","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":12,"referenced_works":["https://openalex.org/W2976965654","https://openalex.org/W2997006708","https://openalex.org/W3034251792","https://openalex.org/W3108549452","https://openalex.org/W3200808010","https://openalex.org/W4205970286","https://openalex.org/W4385572485","https://openalex.org/W4385574246","https://openalex.org/W4389519284","https://openalex.org/W4389520111","https://openalex.org/W4404212170","https://openalex.org/W4404918643"],"related_works":[],"abstract_inverted_index":{"Large":[0],"language":[1],"models":[2],"(LLMs)":[3],"have":[4],"resulted":[5],"in":[6,9,18,61,152],"significant":[7],"improvements":[8],"understanding":[10],"and":[11,77,112,133,166],"generating":[12],"natural":[13],"language.":[14],"However,":[15],"their":[16,24],"deployment":[17],"resourceconstrained":[19],"environments":[20],"is":[21,127],"limited":[22],"by":[23,38,94,106],"high":[25],"computational":[26],"demands.":[27],"Hence,":[28],"Knowledge":[29],"Distillation":[30,99],"(KD)":[31],"has":[32],"emerged":[33],"to":[34,50,101,116,162],"address":[35,91],"such":[36,67],"challenges":[37],"enabling":[39],"the":[40,62,69,73,80,87,103,117,125,131,134,147,154,160,164,169],"transfer":[41],"of":[42,64,79,168],"knowledge":[43],"from":[44],"a":[45,51,96,139],"large,":[46],"pre-trained":[47],"model":[48,55,111,155],"(teacher)":[49],"smaller,":[52],"more":[53],"efficient":[54],"(student).":[56],"Yet,":[57],"some":[58],"bottlenecks":[59],"exist":[60],"effectiveness":[63],"this":[65,92],"technique,":[66],"as":[68],"\u201ccapacity":[70],"gap\u201d":[71],"between":[72],"teachers\u2019":[74],"learning":[75,114],"abilities":[76],"that":[78],"student":[81,142],"models,":[82],"which":[83],"may":[84],"negatively":[85],"impact":[86],"distilled":[88,170],"model.":[89,143],"We":[90],"limitation":[93],"introducing":[95],"Tutor-Enhanced":[97],"Iterative":[98],"(TEID)":[100],"fill":[102],"capacity":[104,156],"gap,":[105,157],"adding":[107],"an":[108],"intermediate-sized":[109],"tutor":[110,132],"selective":[113],"strategy":[115],"traditional":[118],"distillation":[119],"setup.":[120],"To":[121],"achieve":[122],"further":[123],"compression,":[124],"TEID":[126],"repeated":[128],"iteratively":[129],"on":[130,146],"previously":[135],"resultant":[136],"student,":[137],"with":[138],"new":[140],"smaller":[141],"Empirical":[144],"results":[145,151],"GLUE":[148],"benchmark":[149],"show":[150],"mitigating":[153],"while":[158],"showcasing":[159],"need":[161],"improve":[163],"efficiency":[165],"scalability":[167],"models.":[171]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-01-05T00:00:00"}
