{"id":"https://openalex.org/W4408347320","doi":"https://doi.org/10.1109/icassp49660.2025.10888198","title":"AER-LLM: Ambiguity-aware Emotion Recognition Leveraging Large Language Models","display_name":"AER-LLM: Ambiguity-aware Emotion Recognition Leveraging Large Language Models","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408347320","doi":"https://doi.org/10.1109/icassp49660.2025.10888198"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10888198","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10888198","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5100714795","display_name":"Xin Hong","orcid":"https://orcid.org/0000-0003-1524-9362"},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Xin Hong","raw_affiliation_strings":["Systems University of Melbourne,School of Computing and Information,Melbourne,Australia"],"affiliations":[{"raw_affiliation_string":"Systems University of Melbourne,School of Computing and Information,Melbourne,Australia","institution_ids":["https://openalex.org/I165779595"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101858855","display_name":"Yuan Gong","orcid":"https://orcid.org/0009-0009-9097-4805"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuan Gong","raw_affiliation_strings":["Institute of Technology,CSAIL SLS Massachusetts,Boston,USA"],"affiliations":[{"raw_affiliation_string":"Institute of Technology,CSAIL SLS Massachusetts,Boston,USA","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032689109","display_name":"Vidhyasaharan Sethu","orcid":"https://orcid.org/0000-0001-8492-1787"},"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":"Vidhyasaharan Sethu","raw_affiliation_strings":["University of New South Wales,School of Electrical Engineering and Telecommunications,Sydney,Australia"],"affiliations":[{"raw_affiliation_string":"University of New South Wales,School of Electrical Engineering and Telecommunications,Sydney,Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071116593","display_name":"Ting Dang","orcid":"https://orcid.org/0000-0003-3806-1493"},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Ting Dang","raw_affiliation_strings":["Systems University of Melbourne,School of Computing and Information,Melbourne,Australia"],"affiliations":[{"raw_affiliation_string":"Systems University of Melbourne,School of Computing and Information,Melbourne,Australia","institution_ids":["https://openalex.org/I165779595"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100714795"],"corresponding_institution_ids":["https://openalex.org/I165779595"],"apc_list":null,"apc_paid":null,"fwci":17.4549,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.98906757,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9697999954223633,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9697999954223633,"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":0.7854244709014893},{"id":"https://openalex.org/keywords/ambiguity","display_name":"Ambiguity","score":0.7469881772994995},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.5083984732627869},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4788641631603241},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.47003859281539917},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.4242251515388489},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.393506795167923},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3659958243370056},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.1102590560913086}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7854244709014893},{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.7469881772994995},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.5083984732627869},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4788641631603241},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.47003859281539917},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.4242251515388489},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.393506795167923},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3659958243370056},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.1102590560913086}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49660.2025.10888198","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10888198","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":25,"referenced_works":["https://openalex.org/W2146334809","https://openalex.org/W2239141610","https://openalex.org/W2493090470","https://openalex.org/W2909182324","https://openalex.org/W2927925864","https://openalex.org/W2953739332","https://openalex.org/W3012159372","https://openalex.org/W3034323190","https://openalex.org/W3095093565","https://openalex.org/W3168092536","https://openalex.org/W3189209532","https://openalex.org/W4226425326","https://openalex.org/W4293261951","https://openalex.org/W4319165154","https://openalex.org/W4390041933","https://openalex.org/W4390874371","https://openalex.org/W4392679398","https://openalex.org/W4392903618","https://openalex.org/W4392903739","https://openalex.org/W4402111569","https://openalex.org/W4402427685","https://openalex.org/W4402671916","https://openalex.org/W6850625674","https://openalex.org/W6857178724","https://openalex.org/W6862089590"],"related_works":["https://openalex.org/W2353179089","https://openalex.org/W2923538289","https://openalex.org/W2353125546","https://openalex.org/W2470643824","https://openalex.org/W4400595174","https://openalex.org/W2349635380","https://openalex.org/W4353089801","https://openalex.org/W2353819554","https://openalex.org/W3126677997","https://openalex.org/W1610857240"],"abstract_inverted_index":{"Recent":[0,42],"advancements":[1],"in":[2,11,27,48,84,123,148],"Large":[3],"Language":[4,14],"Models":[5],"(LLMs)":[6],"have":[7,44],"demonstrated":[8],"great":[9],"success":[10],"many":[12],"Natural":[13],"Processing":[15],"(NLP)":[16],"tasks.":[17],"In":[18],"addition":[19],"to":[20,74],"their":[21,25,89],"cognitive":[22],"intelligence,":[23],"exploring":[24,79],"capabilities":[26,92],"emotional":[28],"intelligence":[29],"is":[30,71],"also":[31],"crucial,":[32],"as":[33,106],"it":[34],"enables":[35],"more":[36,158],"natural":[37],"and":[38,59,63,93,99,102,127,153],"empathetic":[39],"conversational":[40],"AI.":[41],"studies":[43],"shown":[45],"LLMs\u2019":[46],"capability":[47],"recognizing":[49,85,124,149],"emotions,":[50,87,126,160],"but":[51],"they":[52],"often":[53],"focus":[54],"on":[55],"single":[56],"emotion":[57,111],"labels":[58],"overlook":[60],"the":[61,72,80,129],"complex":[62],"ambiguous":[64,86,110,125,151,159],"nature":[65],"of":[66,82,132,146],"human":[67,162],"emotions.":[68],"This":[69],"study":[70],"first":[73],"address":[75],"this":[76],"gap":[77],"by":[78],"potential":[81,120,155],"LLMs":[83,122,141],"leveraging":[88],"strong":[90],"generalization":[91],"in-context":[94],"learning.":[95],"We":[96],"design":[97],"zero-shot":[98],"few-shot":[100],"prompting":[101],"incorporate":[103],"past":[104],"dialogue":[105],"context":[107,134],"information":[108],"for":[109,121,156],"recognition.":[112],"Experiments":[113],"conducted":[114],"using":[115],"three":[116],"datasets":[117],"indicate":[118,139],"significant":[119],"highlight":[128],"substantial":[130],"benefits":[131],"including":[133],"information.":[135],"Furthermore,":[136],"our":[137],"findings":[138],"that":[140],"demonstrate":[142],"a":[143],"high":[144],"degree":[145],"effectiveness":[147],"less":[150],"emotions":[152],"exhibit":[154],"identifying":[157],"paralleling":[161],"perceptual":[163],"capabilities.":[164]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":4}],"updated_date":"2026-04-23T09:07:50.710637","created_date":"2025-10-10T00:00:00"}