{"id":"https://openalex.org/W7140082802","doi":"https://doi.org/10.18653/v1/2026.eacl-long.165","title":"A Unified View on Emotion Representation in Large Language Models","display_name":"A Unified View on Emotion Representation in Large Language Models","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7140082802","doi":"https://doi.org/10.18653/v1/2026.eacl-long.165"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2026.eacl-long.165","doi":"https://doi.org/10.18653/v1/2026.eacl-long.165","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.eacl-long.165","pdf_url":"https://aclanthology.org/2026.eacl-long.165.pdf","source":{"id":"https://openalex.org/S4306418011","display_name":"Conference of the European Chapter of the Association for Computational Linguistics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"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 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://aclanthology.org/2026.eacl-long.165.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5095870218","display_name":"Aishwarya Maheswaran","orcid":"https://orcid.org/0009-0009-9714-9824","observed_orcids":["https://orcid.org/0009-0009-9714-9824"]},"institutions":[{"id":"https://openalex.org/I65181880","display_name":"Indian Institute of Technology Hyderabad","ror":"https://ror.org/01j4v3x97","country_code":"IN","type":"education","lineage":["https://openalex.org/I65181880"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Aishwarya Maheswaran","raw_affiliation_strings":["IIT Hyderabad , India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IIT Hyderabad , India","institution_ids":["https://openalex.org/I65181880"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087152480","display_name":"Maunendra Sankar Desarkar","orcid":"https://orcid.org/0000-0003-1963-7338","observed_orcids":["https://orcid.org/0000-0003-1963-7338"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Maunendra Sankar Desarkar","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14100459,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3589","last_page":"3610"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.7221999764442444,"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":0.7221999764442444,"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/T10667","display_name":"Emotion and Mood Recognition","score":0.18930000066757202,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.04769999906420708,"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/emotion-representation","display_name":"emotion representation","score":0.9649999737739563},{"id":"https://openalex.org/keywords/large-language-models","display_name":"large language models","score":0.9980000257492065},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"emotion recognition","score":0.5759999752044678},{"id":"https://openalex.org/keywords/hidden-state-representations","display_name":"hidden state representations","score":0.7440000176429749},{"id":"https://openalex.org/keywords/chain-of-thought-prompting","display_name":"chain-of-thought prompting","score":0.7649999856948853},{"id":"https://openalex.org/keywords/emotion-understanding","display_name":"emotional understanding","score":0.4830000102519989}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6044999957084656},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5478000044822693},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.49540001153945923},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47690001130104065},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.3921999931335449},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.31040000915527344},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.30959999561309814},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.30399999022483826},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.2856999933719635},{"id":"https://openalex.org/C129792486","wikidata":"https://www.wikidata.org/wiki/Q1050419","display_name":"Language identification","level":3,"score":0.26910001039505005},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.2635999917984009},{"id":"https://openalex.org/C124304363","wikidata":"https://www.wikidata.org/wiki/Q673661","display_name":"Abstraction","level":2,"score":0.26030001044273376},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.25380000472068787}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2026.eacl-long.165","doi":"https://doi.org/10.18653/v1/2026.eacl-long.165","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.eacl-long.165","pdf_url":"https://aclanthology.org/2026.eacl-long.165.pdf","source":{"id":"https://openalex.org/S4306418011","display_name":"Conference of the European Chapter of the Association for Computational Linguistics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"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 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2026.eacl-long.165","doi":"https://doi.org/10.18653/v1/2026.eacl-long.165","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.eacl-long.165","pdf_url":"https://aclanthology.org/2026.eacl-long.165.pdf","source":{"id":"https://openalex.org/S4306418011","display_name":"Conference of the European Chapter of the Association for Computational Linguistics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"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 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7140082802.pdf","grobid_xml":"https://content.openalex.org/works/W7140082802.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4416373956","https://openalex.org/W7101698438","https://openalex.org/W4415191887","https://openalex.org/W4412944531","https://openalex.org/W7134898337","https://openalex.org/W4411446513","https://openalex.org/W6891936070","https://openalex.org/W4408006213","https://openalex.org/W7206151223","https://openalex.org/W4412888258"],"abstract_inverted_index":{"Interest":[0],"in":[1,32,63,93,152],"leveraging":[2],"Large":[3],"Language":[4],"Models":[5],"(LLMs)":[6],"for":[7,158],"emotional":[8],"support":[9],"systems":[10],"motivates":[11,155],"the":[12,27,33,40,73,77,94,98,101,104,132,156],"need":[13,157],"to":[14,59,161],"understand":[15,60],"how":[16],"these":[17,110],"models":[18,78],"comprehend":[19],"and":[20,69,100],"represent":[21],"emotions":[22,107],"internally.While":[23],"recent":[24],"works":[25],"show":[26],"presence":[28],"of":[29,76,97,106,123,127,134],"emotion":[30,61,82,91,135,141],"concepts":[31],"hidden":[34],"state":[35],"representations,":[36,142],"it's":[37],"unclear":[38],"if":[39],"model":[41],"has":[42],"a":[43,56,80,89],"robust":[44],"representation":[45,62,92],"that":[46,86],"is":[47],"consistent":[48],"across":[49],"different":[50],"datasets.In":[51],"this":[52],"paper,":[53],"we":[54],"present":[55],"unified":[57],"view":[58],"LLMs,":[64],"experimenting":[65],"with":[66,117,125,150],"diverse":[67],"datasets":[68,116],"prompts.We":[70],"then":[71],"evaluate":[72],"reasoning":[74,124,149],"ability":[75],"on":[79,120],"complex":[81,153],"identification":[83],"task.We":[84],"find":[85,162],"LLMs":[87,138],"have":[88],"common":[90],"later":[95],"layers":[96],"model,":[99],"vectors":[102],"capturing":[103],"direction":[105],"extracted":[108],"from":[109],"representations":[111],"can":[112],"be":[113],"interchanged":[114],"among":[115],"minimal":[118],"impact":[119],"performance.Our":[121],"analysis":[122],"Chain":[126],"Thought":[128],"(CoT)":[129],"prompting":[130],"shows":[131],"limits":[133],"comprehension.Therefore,":[136],"despite":[137],"implicitly":[139],"having":[140],"they":[143],"are":[144],"not":[145],"equally":[146],"skilled":[147],"at":[148],"them":[151],"scenarios.This":[154],"further":[159],"research":[160],"new":[163],"approaches":[164],"1":[165],".0":[166]},"counts_by_year":[],"updated_date":"2026-10-28T10:33:24.094632","created_date":"2026-03-24T00:00:00"}
