{"id":"https://openalex.org/W4403791408","doi":"https://doi.org/10.1145/3664647.3689178","title":"Curriculum Learning for Multimedia in the Era of Large Language Models","display_name":"Curriculum Learning for Multimedia in the Era of Large Language Models","publication_year":2024,"publication_date":"2024-10-26","ids":{"openalex":"https://openalex.org/W4403791408","doi":"https://doi.org/10.1145/3664647.3689178"},"language":"en","primary_location":{"id":"doi:10.1145/3664647.3689178","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3664647.3689178","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Multimedia","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/A5022927606","display_name":"Xin Wang","orcid":"https://orcid.org/0000-0002-0351-2939"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Wang","raw_affiliation_strings":["DCST, BNRist, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-0351-2939","affiliations":[{"raw_affiliation_string":"DCST, BNRist, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101273536","display_name":"Yuwei Zhou","orcid":"https://orcid.org/0000-0001-9582-7331"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuwei Zhou","raw_affiliation_strings":["DCST, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-9582-7331","affiliations":[{"raw_affiliation_string":"DCST, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100420416","display_name":"Hong Chen","orcid":"https://orcid.org/0000-0002-0943-2286"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Chen","raw_affiliation_strings":["DCST, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-0943-2286","affiliations":[{"raw_affiliation_string":"DCST, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100339293","display_name":"Wenwu Zhu","orcid":"https://orcid.org/0000-0003-2236-9290"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenwu Zhu","raw_affiliation_strings":["DCST, BNRist, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-2236-9290","affiliations":[{"raw_affiliation_string":"DCST, BNRist, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.3556,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.57086788,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"11296","last_page":"11297"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.8194000124931335,"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":0.8194000124931335,"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/T13071","display_name":"Digital Storytelling and Education","score":0.7875000238418579,"subfield":{"id":"https://openalex.org/subfields/3616","display_name":"Speech and Hearing"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11122","display_name":"Online Learning and Analytics","score":0.7476999759674072,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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":0.7466140985488892},{"id":"https://openalex.org/keywords/curriculum","display_name":"Curriculum","score":0.7359029054641724},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.6925252079963684},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3202476501464844},{"id":"https://openalex.org/keywords/pedagogy","display_name":"Pedagogy","score":0.11114421486854553},{"id":"https://openalex.org/keywords/sociology","display_name":"Sociology","score":0.08485886454582214}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7466140985488892},{"id":"https://openalex.org/C47177190","wikidata":"https://www.wikidata.org/wiki/Q207137","display_name":"Curriculum","level":2,"score":0.7359029054641724},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.6925252079963684},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3202476501464844},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.11114421486854553},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.08485886454582214}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3664647.3689178","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3664647.3689178","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7799999713897705,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2296073425","https://openalex.org/W3142849873","https://openalex.org/W4226340499","https://openalex.org/W4304080781","https://openalex.org/W4304092657","https://openalex.org/W4382462100","https://openalex.org/W4385763996"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"This":[0],"tutorial":[1,133,142],"focuses":[2],"on":[3,122,143],"curriculum":[4],"learning":[5,27,46,112,252],"(CL),":[6],"an":[7,15,50,91],"important":[8,92],"topic":[9,232],"in":[10,20,58,69,94,109,193,202,222,250],"machine":[11,111,251],"learning,":[12,83],"which":[13],"gains":[14],"increasing":[16],"amount":[17],"of":[18,44,66,73,131,200,225,237,240],"attention":[19],"the":[21,41,60,110,129,153,171,190,198,213,223,235,238,247],"research":[22],"community.":[23,115],"CL":[24,53,87,103,123,144,201],"is":[25,99,233,244],"a":[26,70,140],"paradigm":[28],"that":[29],"enables":[30],"machines":[31],"to":[32,37,101,104,149,189,246],"learn":[33],"from":[34,152,255],"easy":[35],"data":[36],"hard":[38],"data,":[39],"imitating":[40],"meaningful":[42],"procedure":[43],"human":[45],"with":[47],"curricula.":[48],"As":[49],"easy-to-use":[51],"plug-in,":[52],"has":[54],"demonstrated":[55],"its":[56],"power":[57],"improving":[59],"generalization":[61],"capacity":[62],"and":[63,107,113,164,174,219,243,253,258],"convergence":[64],"rate":[65],"various":[67,203],"models":[68],"wide":[71],"range":[72],"scenarios":[74],"such":[75],"as":[76,184,186],"computer":[77],"vision,":[78],"natural":[79],"language":[80,227],"processing,":[81],"reinforcement":[82],"etc.":[84],"In":[85,212],"particular,":[86],"can":[88],"also":[89],"play":[90],"role":[93],"multimedia":[95,114,125,254],"applications.":[96],"Therefore,":[97],"it":[98,151],"essential":[100],"introduce":[102,170],"more":[105],"scholars":[106],"researchers":[108],"However,":[116],"there":[117],"have":[118],"been":[119],"no":[120],"tutorials":[121],"for":[124,145],"so":[126],"far,":[127],"motivating":[128],"organization":[130],"this":[132,231],"at":[134,234],"ACM":[135,241],"Multimedia":[136,242],"2024.":[137],"To":[138],"give":[139],"comprehensive":[141],"multimedia,":[146,206],"we":[147,169,179,196,215],"plan":[148],"organize":[150],"following":[154],"aspects:":[155],"(1)":[156],"theories,":[157,173],"(2)":[158],"approaches,":[159,183],"(3)":[160],"applications,":[161],"(4)":[162],"tools,":[163],"(5)":[165],"future":[166,220],"directions.":[167],"First,":[168],"motivations,":[172],"insights":[175],"behind":[176],"CL.":[177,194],"Second,":[178],"advocate":[180],"novel,":[181],"high-quality":[182],"well":[185],"innovative":[187],"solutions":[188],"challenging":[191],"problems":[192],"Then":[195],"present":[197],"applications":[199],"scenarios,":[204],"especially":[205],"followed":[207],"by":[208],"some":[209],"relevant":[210],"tools.":[211],"end,":[214],"discuss":[216],"open":[217],"questions":[218],"directions":[221],"era":[224],"large":[226],"models.":[228],"We":[229],"believe":[230],"core":[236],"scope":[239],"attractive":[245],"audience":[248],"interested":[249],"both":[256],"academia":[257],"industry.":[259]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
