{"id":"https://openalex.org/W7204952672","doi":"https://doi.org/10.18653/2026.findings-emnlp.2220","title":"Modality Disentangled Learning for Incomplete Multimodal Emotion Recognition: A Primitive Memory Distillation Perspective","display_name":"Modality Disentangled Learning for Incomplete Multimodal Emotion Recognition: A Primitive Memory Distillation Perspective","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7204952672","doi":"https://doi.org/10.18653/2026.findings-emnlp.2220"},"language":"en","primary_location":{"id":"doi:10.18653/2026.findings-emnlp.2220","doi":"https://doi.org/10.18653/2026.findings-emnlp.2220","is_oa":true,"landing_page_url":"https://doi.org/10.18653/2026.findings-emnlp.2220","pdf_url":"https://aclanthology.org/2026.findings-emnlp.2220.pdf","source":{"id":"https://openalex.org/S7407096085","display_name":"Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310320244","host_organization_name":"Association for Computational Linguistics","host_organization_lineage":["https://openalex.org/P4310320244"],"host_organization_lineage_names":["Association for Computational Linguistics"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Findings of the Association for Computational Linguistics: EMNLP 2026","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://aclanthology.org/2026.findings-emnlp.2220.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5148880607","display_name":"Jiaqi Zhang","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaqi Zhang","raw_affiliation_strings":["Jiangsu University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiangsu University","institution_ids":["https://openalex.org/I115592961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101327034","display_name":"Zheng Pang","orcid":"https://orcid.org/0009-0003-6606-3151","observed_orcids":["https://orcid.org/0009-0003-6606-3151","https://orcid.org/0009-0001-3093-7641"]},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zheng Pang","raw_affiliation_strings":["Jiangsu University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiangsu University","institution_ids":["https://openalex.org/I115592961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100643013","display_name":"Mengting Li","orcid":"https://orcid.org/0000-0002-0144-870X","observed_orcids":["https://orcid.org/0000-0002-0144-870X"]},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengting Li","raw_affiliation_strings":["Jiangsu University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiangsu University","institution_ids":["https://openalex.org/I115592961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5148935867","display_name":"Yiqi Wang","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I11701301","display_name":"Griffith University","ror":"https://ror.org/02sc3r913","country_code":"AU","type":"education","lineage":["https://openalex.org/I11701301"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Yiqi Wang","raw_affiliation_strings":["Griffith University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Griffith University","institution_ids":["https://openalex.org/I11701301"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5141303446","display_name":"Guangyuan Dong","orcid":"https://orcid.org/0009-0004-1160-3349","observed_orcids":["https://orcid.org/0009-0004-1160-3349"]},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Guangyuan Dong","raw_affiliation_strings":["National University of Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5141002578","display_name":"Chao Xue","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Chao Xue","raw_affiliation_strings":["University of New South Wales"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of New South Wales","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5148847120","display_name":"Yusen Wu","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I83791580","display_name":"Fujian University of Technology","ror":"https://ror.org/03c8fdb16","country_code":"CN","type":"education","lineage":["https://openalex.org/I83791580"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yusen Wu","raw_affiliation_strings":["Fujian University of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fujian University of Technology","institution_ids":["https://openalex.org/I83791580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137711193","display_name":"Zihao Li","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I69356397","display_name":"Xi\u2019an Jiaotong-Liverpool University","ror":"https://ror.org/03zmrmn05","country_code":"CN","type":"education","lineage":["https://openalex.org/I69356397"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zihao Li","raw_affiliation_strings":["Xi'an Jiaotong-Liverpool University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi'an Jiaotong-Liverpool University","institution_ids":["https://openalex.org/I69356397"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130938327","display_name":"Huy Phan","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I33256026","display_name":"German Research Centre for Artificial Intelligence","ror":"https://ror.org/01ayc5b57","country_code":"DE","type":"funder","lineage":["https://openalex.org/I33256026"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Huy Phan","raw_affiliation_strings":["German Research Center for Artificial Intelligence"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"German Research Center for Artificial Intelligence","institution_ids":["https://openalex.org/I33256026"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123632738","display_name":"Sicheng Zhao","orcid":null,"observed_orcids":[]},"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":"Sicheng Zhao","raw_affiliation_strings":["Tsinghua University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123508905","display_name":"Bj\u00f6rn W. Schuller","orcid":"https://orcid.org/0000-0002-6478-8699","observed_orcids":["https://orcid.org/0000-0002-6478-8699"]},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]},{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE","GB"],"is_corresponding":false,"raw_author_name":"Bj\u00f6rn Schuller","raw_affiliation_strings":["Imperial College London","Technical University of Munich"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Imperial College London","institution_ids":["https://openalex.org/I47508984"]},{"raw_affiliation_string":"Technical University of Munich","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5130997476","display_name":"Jiachen Luo","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]},{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE","GB"],"is_corresponding":false,"raw_author_name":"Jiachen Luo","raw_affiliation_strings":["Queen Mary University of London","Technical University of Munich"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Queen Mary University of London","institution_ids":["https://openalex.org/I166337079"]},{"raw_affiliation_string":"Technical University of Munich","institution_ids":["https://openalex.org/I62916508"]}]}],"institutions":[],"countries_distinct_count":5,"institutions_distinct_count":11,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.123,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.95167004,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"47534","last_page":"47552"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9937000274658203,"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/T10667","display_name":"Emotion and Mood Recognition","score":0.9937000274658203,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.0031999999191612005,"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":0.000699999975040555,"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/multimodal-emotion-recognition","display_name":"multimodal emotion recognition","score":0.9739999771118164},{"id":"https://openalex.org/keywords/missing-modalities","display_name":"missing modalities","score":0.8240000009536743},{"id":"https://openalex.org/keywords/teacher-student-learning","display_name":"teacher-student learning","score":0.7390000224113464},{"id":"https://openalex.org/keywords/semantic-primitives","display_name":"semantic primitives","score":0.8180000185966492},{"id":"https://openalex.org/keywords/robustness-to-missing-data","display_name":"missing data robustness","score":0.7360000014305115}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7560999989509583},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.7498999834060669},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.6805999875068665},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.6430000066757202},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.5929999947547913},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5666000247001648},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5146999955177307},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.48069998621940613},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.3601999878883362},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.3449999988079071},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.33059999346733093},{"id":"https://openalex.org/C197914299","wikidata":"https://www.wikidata.org/wiki/Q18650","display_name":"Semantic memory","level":3,"score":0.32019999623298645},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.31630000472068787},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.31060001254081726},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3082999885082245},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.3077999949455261},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.30160000920295715},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.2930000126361847},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2842000126838684},{"id":"https://openalex.org/C121375916","wikidata":"https://www.wikidata.org/wiki/Q936559","display_name":"Principle of compositionality","level":2,"score":0.28279998898506165},{"id":"https://openalex.org/C12186640","wikidata":"https://www.wikidata.org/wiki/Q6815743","display_name":"Memory model","level":3,"score":0.2754000127315521},{"id":"https://openalex.org/C2778828372","wikidata":"https://www.wikidata.org/wiki/Q5283209","display_name":"Distributional semantics","level":3,"score":0.26600000262260437},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.2572999894618988},{"id":"https://openalex.org/C138958017","wikidata":"https://www.wikidata.org/wiki/Q190087","display_name":"Data type","level":2,"score":0.25}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.18653/2026.findings-emnlp.2220","doi":"https://doi.org/10.18653/2026.findings-emnlp.2220","is_oa":true,"landing_page_url":"https://doi.org/10.18653/2026.findings-emnlp.2220","pdf_url":"https://aclanthology.org/2026.findings-emnlp.2220.pdf","source":{"id":"https://openalex.org/S7407096085","display_name":"Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310320244","host_organization_name":"Association for Computational Linguistics","host_organization_lineage":["https://openalex.org/P4310320244"],"host_organization_lineage_names":["Association for Computational Linguistics"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Findings of the Association for Computational Linguistics: EMNLP 2026","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2608.30563","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2608.30563","pdf_url":"https://arxiv.org/pdf/2608.30563","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2608.30563","doi":"https://doi.org/10.48550/arxiv.2608.30563","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2608.30563","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.18653/2026.findings-emnlp.2220","doi":"https://doi.org/10.18653/2026.findings-emnlp.2220","is_oa":true,"landing_page_url":"https://doi.org/10.18653/2026.findings-emnlp.2220","pdf_url":"https://aclanthology.org/2026.findings-emnlp.2220.pdf","source":{"id":"https://openalex.org/S7407096085","display_name":"Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310320244","host_organization_name":"Association for Computational Linguistics","host_organization_lineage":["https://openalex.org/P4310320244"],"host_organization_lineage_names":["Association for Computational Linguistics"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Findings of the Association for Computational Linguistics: EMNLP 2026","raw_type":"proceedings-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7204952672.pdf","grobid_xml":"https://content.openalex.org/works/W7204952672.grobid-xml"},"referenced_works_count":11,"referenced_works":["https://openalex.org/W7119528756","https://openalex.org/W7128803220","https://openalex.org/W7161146102","https://openalex.org/W7162654644","https://openalex.org/W7163197567","https://openalex.org/W7171428914","https://openalex.org/W7171932929","https://openalex.org/W7202115999","https://openalex.org/W7202282401","https://openalex.org/W7202291452","https://openalex.org/W7204083633"],"related_works":["https://openalex.org/W4417051961","https://openalex.org/W7164735771","https://openalex.org/W4403885274","https://openalex.org/W7167662432","https://openalex.org/W4402980039","https://openalex.org/W7155028811","https://openalex.org/W7164510107","https://openalex.org/W7164802403","https://openalex.org/W4392903647","https://openalex.org/W4412446321"],"abstract_inverted_index":{"Multimodal":[0],"Emotion":[1],"Recognition":[2],"(MER)":[3],"systems":[4],"often":[5],"suffer":[6],"from":[7,88],"missing":[8,19,132],"modalities":[9,20,105,123],"in":[10,81],"real-world":[11],"scenarios.Existing":[12],"methods":[13],"usually":[14],"generate,":[15],"align,":[16],"or":[17],"distill":[18],"as":[21,124],"a":[22,78,110,136,163],"whole,":[23],"overlooking":[24],"the":[25,29,56,94,114,118,143,171],"heterogeneous":[26],"nature":[27],"of":[28,75,121,166],"information":[30,76,134],"carried":[31],"by":[32,174],"each":[33],"modality.Such":[34],"holistic":[35,175],"treatment":[36],"mixes":[37],"inferable":[38],"shared":[39,86,119],"semantics":[40,87,120],"with":[41,142],"uncertain":[42],"modality-specific":[43,89,102,133],"details,":[44],"yielding":[45],"unstable":[46],"representations":[47],"and":[48,69,91,140,150,158,179],"degrading":[49],"robustness.To":[50],"address":[51],"this":[52],"issue,":[53],"we":[54],"propose":[55],"Primitive":[57],"Memory":[58],"Distillation":[59],"(PriMD)":[60],"framework.Unlike":[61],"existing":[62],"methods,":[63],"PriMD":[64,108,154],"takes":[65],"an":[66],"intra-modal":[67],"perspective":[68],"focuses":[70],"on":[71,147],"how":[72],"different":[73],"types":[74],"within":[77,135],"modality":[79],"differ":[80],"recoverability.PriMD":[82],"first":[83],"disentangles":[84],"cross-modal":[85],"representations,":[90],"then":[92],"discretizes":[93],"latter":[95],"into":[96],"learnable":[97],"semantic":[98],"primitives":[99],"to":[100,126],"construct":[101],"memory":[103,138],"banks.When":[104],"are":[106,182],"missing,":[107],"is":[109],"teacher-student":[111],"framework":[112],"that":[113,153],"student":[115],"model":[116],"uses":[117],"available":[122,183],"queries":[125],"dynamically":[127],"retrieve":[128],"primitives.It":[129],"compensates":[130],"for":[131],"constrained":[137],"space":[139],"aligns":[141],"teacher":[144],"model.Extensive":[145],"experiments":[146],"IEMOCAP,":[148],"CMU-MOSI,":[149],"CMU-MOSEI":[151],"demonstrate":[152],"achieves":[155],"state-of-the-art":[156],"performance":[157],"consistently":[159],"stronger":[160],"robustness":[161],"across":[162],"wide":[164],"range":[165],"missing-modality":[167],"settings,":[168],"while":[169],"mitigating":[170],"instability":[172],"caused":[173],"feature":[176],"inference.Our":[177],"code":[178],"project":[180],"website":[181],"at":[184],"https":[185]},"counts_by_year":[{"year":2026,"cited_by_count":3}],"updated_date":"2026-11-08T12:12:28.789561","created_date":"2026-09-02T00:00:00"}