{"id":"https://openalex.org/W4415538356","doi":"https://doi.org/10.1145/3746027.3762070","title":"Structured Prompting and LLM Ensembling for Multimodal Conversational Aspect-based Sentiment Analysis","display_name":"Structured Prompting and LLM Ensembling for Multimodal Conversational Aspect-based Sentiment Analysis","publication_year":2025,"publication_date":"2025-10-25","ids":{"openalex":"https://openalex.org/W4415538356","doi":"https://doi.org/10.1145/3746027.3762070"},"language":"en","primary_location":{"id":"doi:10.1145/3746027.3762070","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3746027.3762070","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Multimedia","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3746027.3762070","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5092068996","display_name":"Zhiqiang Gao","orcid":null},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiqiang Gao","raw_affiliation_strings":["Hunan University, Changsha, Hunan, China"],"raw_orcid":"https://orcid.org/0009-0004-5283-6173","affiliations":[{"raw_affiliation_string":"Hunan University, Changsha, Hunan, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Shihao Gao","orcid":"https://orcid.org/0009-0003-3366-8648"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shihao Gao","raw_affiliation_strings":["Hunan University, Changsha, Hunan, China"],"raw_orcid":"https://orcid.org/0009-0003-3366-8648","affiliations":[{"raw_affiliation_string":"Hunan University, Changsha, Hunan, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036056631","display_name":"Zixing Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zixing Zhang","raw_affiliation_strings":["Hunan University, Changsha, Hunan, China"],"raw_orcid":"https://orcid.org/0000-0001-8487-0561","affiliations":[{"raw_affiliation_string":"Hunan University, Changsha, Hunan, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108587935","display_name":"Yihao Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yihao Guo","raw_affiliation_strings":["Hunan University, Changsha, Hunan, China"],"raw_orcid":"https://orcid.org/0009-0001-9454-0547","affiliations":[{"raw_affiliation_string":"Hunan University, Changsha, Hunan, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Hongyu Chen","orcid":"https://orcid.org/0009-0004-3381-7663"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongyu Chen","raw_affiliation_strings":["Hunan University, Changsha, Hunan, China"],"raw_orcid":"https://orcid.org/0009-0004-3381-7663","affiliations":[{"raw_affiliation_string":"Hunan University, Changsha, Hunan, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069921704","display_name":"Jing Han","orcid":"https://orcid.org/0000-0001-5776-6849"},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jing Han","raw_affiliation_strings":["University of Cambridge, Cambridge, United Kingdom"],"raw_orcid":"https://orcid.org/0000-0001-5776-6849","affiliations":[{"raw_affiliation_string":"University of Cambridge, Cambridge, United Kingdom","institution_ids":["https://openalex.org/I241749"]}]}],"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":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"14107","last_page":"14113"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9998999834060669,"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":0.9998999834060669,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9986000061035156,"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":0.9804999828338623,"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/sentiment-analysis","display_name":"Sentiment analysis","score":0.9093999862670898},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.6413000226020813},{"id":"https://openalex.org/keywords/multimodality","display_name":"Multimodality","score":0.2919999957084656},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.24199999868869781},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.21660000085830688}],"concepts":[{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.9093999862670898},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7178000211715698},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.6413000226020813},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6363999843597412},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5654000043869019},{"id":"https://openalex.org/C2780910867","wikidata":"https://www.wikidata.org/wiki/Q1952416","display_name":"Multimodality","level":2,"score":0.2919999957084656},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2687000036239624},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.24199999868869781},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.21660000085830688},{"id":"https://openalex.org/C6438553","wikidata":"https://www.wikidata.org/wiki/Q1185804","display_name":"Affective computing","level":2,"score":0.2142000049352646}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3746027.3762070","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3746027.3762070","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Multimedia","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2512.22603","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2512.22603","pdf_url":"https://arxiv.org/pdf/2512.22603","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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":"pmh:oai:www.repository.cam.ac.uk:1810/393321","is_oa":true,"landing_page_url":"https://www.repository.cam.ac.uk/handle/1810/393321","pdf_url":null,"source":{"id":"https://openalex.org/S4306401777","display_name":"Apollo (University of Cambridge)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I241749","host_organization_name":"University of Cambridge","host_organization_lineage":["https://openalex.org/I241749"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference Object"}],"best_oa_location":{"id":"doi:10.1145/3746027.3762070","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3746027.3762070","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Multimedia","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2019759670","https://openalex.org/W2253519362","https://openalex.org/W3003963580","https://openalex.org/W3172474223","https://openalex.org/W3213870678","https://openalex.org/W4312908198","https://openalex.org/W4361994820","https://openalex.org/W4366425153","https://openalex.org/W4391052842","https://openalex.org/W4392385305","https://openalex.org/W4399621502","https://openalex.org/W4403534144","https://openalex.org/W4403713260","https://openalex.org/W4403791424","https://openalex.org/W4403791709","https://openalex.org/W4403976911"],"related_works":[],"abstract_inverted_index":{"Understanding":[0],"sentiment":[1,36,50,55,82,104,138],"in":[2,63,135],"multimodal":[3,137],"conversations":[4],"is":[5],"a":[6,34,69,112,119],"complex":[7],"yet":[8],"crucial":[9],"challenge":[10],"toward":[11],"building":[12],"emotionally":[13],"intelligent":[14],"AI":[15],"systems.":[16],"The":[17],"Multimodal":[18],"Conversational":[19],"Aspect-based":[20],"Sentiment":[21],"Analysis":[22],"(MCABSA)":[23],"Challenge":[24],"invited":[25],"participants":[26],"to":[27,79,101],"tackle":[28],"two":[29],"demanding":[30],"subtasks:":[31],"(1)":[32],"extracting":[33],"comprehensive":[35],"sextuple-including":[37],"holder,":[38],"target,":[39],"aspect,":[40],"opinion,":[41],"sentiment,":[42],"and":[43,47,57,106,118,132],"rationale-from":[44],"multi-speaker":[45],"dialogues,":[46],"(2)":[48],"detecting":[49],"flipping,":[51],"which":[52],"detects":[53],"dynamic":[54],"shifts":[56],"their":[58,107],"underlying":[59],"triggers.":[60,108],"For":[61,88],"Subtask-I,":[62],"the":[64,93,127],"present":[65],"paper,":[66],"we":[67,90],"designed":[68],"structured":[70],"prompting":[71],"pipeline":[72],"that":[73],"guided":[74],"large":[75],"language":[76],"models":[77],"(LLMs)":[78],"sequentially":[80],"extract":[81],"components":[83],"with":[84],"refined":[85],"contextual":[86],"understanding.":[87],"Subtask-II,":[89,125],"further":[91],"leveraged":[92],"complementary":[94],"strengths":[95],"of":[96,129],"three":[97],"LLMs":[98],"through":[99],"ensembling":[100],"robustly":[102],"identify":[103],"transitions":[105],"Our":[109],"system":[110],"achieved":[111],"47.38%":[113],"average":[114],"score":[115],"on":[116,124],"Subtask-I":[117],"74.12%":[120],"exact":[121],"match":[122],"F1":[123],"showing":[126],"effectiveness":[128],"step-wise":[130],"refinement":[131],"ensemble":[133],"strategies":[134],"rich,":[136],"analysis":[139],"tasks.":[140]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-25T00:00:00"}
