{"id":"https://openalex.org/W4412944531","doi":"https://doi.org/10.18653/v1/2025.findings-acl.1359","title":"Beyond Context to Cognitive Appraisal: Emotion Reasoning as a Theory of Mind Benchmark for Large Language Models","display_name":"Beyond Context to Cognitive Appraisal: Emotion Reasoning as a Theory of Mind Benchmark for Large Language Models","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4412944531","doi":"https://doi.org/10.18653/v1/2025.findings-acl.1359"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2025.findings-acl.1359","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-acl.1359","pdf_url":"https://aclanthology.org/2025.findings-acl.1359.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Findings of the Association for Computational Linguistics: ACL 2025","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2025.findings-acl.1359.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5049558351","display_name":"Gerard Christopher Yeo","orcid":"https://orcid.org/0000-0002-3243-8643"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gerard Christopher Yeo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5079154791","display_name":"Kokil Jaidka","orcid":"https://orcid.org/0000-0002-8127-1157"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kokil Jaidka","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.346,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.92410146,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"26517","last_page":"26525"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.8517000079154968,"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":0.8517000079154968,"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/benchmark","display_name":"Benchmark (surveying)","score":0.6590932607650757},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6485106945037842},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5953083038330078},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.5612629652023315},{"id":"https://openalex.org/keywords/cognitive-science","display_name":"Cognitive science","score":0.552418053150177},{"id":"https://openalex.org/keywords/theory-of-mind","display_name":"Theory of mind","score":0.4804117977619171},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4293239712715149},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.4152035713195801},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3854205012321472},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.30428653955459595}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6590932607650757},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6485106945037842},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5953083038330078},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.5612629652023315},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.552418053150177},{"id":"https://openalex.org/C2779560602","wikidata":"https://www.wikidata.org/wiki/Q639219","display_name":"Theory of mind","level":3,"score":0.4804117977619171},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4293239712715149},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.4152035713195801},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3854205012321472},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.30428653955459595},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2025.findings-acl.1359","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-acl.1359","pdf_url":"https://aclanthology.org/2025.findings-acl.1359.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Findings of the Association for Computational Linguistics: ACL 2025","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2025.findings-acl.1359","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-acl.1359","pdf_url":"https://aclanthology.org/2025.findings-acl.1359.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Findings of the Association for Computational Linguistics: ACL 2025","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1795493338","display_name":null,"funder_award_id":"MOE-MOET32022-0001","funder_id":"https://openalex.org/F4320320751","funder_display_name":"Ministry of Education - Singapore"}],"funders":[{"id":"https://openalex.org/F4320320751","display_name":"Ministry of Education - Singapore","ror":"https://ror.org/01kcva023"},{"id":"https://openalex.org/F4320322724","display_name":"Ministry of Education, India","ror":"https://ror.org/048xjjh50"},{"id":"https://openalex.org/F4320323346","display_name":"B\u1ed9 Gi\u00e1o d\u1ee5c v\u00e0 \u00d0\u00e0o t\u1ea1o","ror":"https://ror.org/00drv3378"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412944531.pdf","grobid_xml":"https://content.openalex.org/works/W4412944531.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W2081348319","https://openalex.org/W1974622901","https://openalex.org/W4248151009","https://openalex.org/W3127991229","https://openalex.org/W2074627502"],"abstract_inverted_index":{"Datasets":[0],"used":[1,13],"for":[2,130],"emotion":[3,100,144],"recognition":[4],"tasks":[5],"typically":[6],"contain":[7,28],"overt":[8],"cues":[9,31],"that":[10,25,32,105],"can":[11,107],"be":[12],"in":[14,19,35,78,133,140],"predicting":[15],"the":[16,49,128,134,141],"emotions":[17,50],"expressed":[18],"a":[20,74,84,110],"text.However,":[21],"one":[22],"challenge":[23],"is":[24],"texts":[26],"sometimes":[27],"covert":[29],"contextual":[30,71],"are":[33,115],"rich":[34],"affective":[36],"semantics,":[37],"which":[38],"warrant":[39],"higher-order":[40],"reasoning":[41],"abilities":[42],"to":[43,58,90,96,101,109],"infer":[44],"emotional":[45,68],"states,":[46],"not":[47],"simply":[48],"conveyed.This":[51],"study":[52],"advances":[53],"beyond":[54],"surface-level":[55],"perceptual":[56],"features":[57],"investigate":[59],"how":[60],"large":[61],"language":[62],"models":[63],"(LLMs)":[64],"reason":[65,108],"about":[66],"others'":[67],"states":[69],"using":[70],"information,":[72],"within":[73],"Theory-of-Mind":[75],"(ToM)":[76],"framework.Grounded":[77],"Cognitive":[79],"Appraisal":[80],"Theory,":[81],"we":[82],"curate":[83],"specialized":[85],"ToM":[86],"evaluation":[87,137],"dataset":[88],"1":[89],"assess":[91],"both":[92],"forward":[93],"reasoning-from":[94,99],"context":[95,142],"emotion-and":[97],"backward":[98],"inferred":[102],"context.We":[103],"showed":[104],"LLMs":[106,139],"certain":[111],"extent,":[112],"although":[113],"they":[114],"poor":[116],"at":[117],"associating":[118],"situational":[119],"outcomes":[120],"and":[121,136],"appraisals":[122],"with":[123],"specific":[124],"emotions.Our":[125],"work":[126],"highlights":[127],"need":[129],"psychological":[131],"theories":[132],"training":[135],"of":[138,143],"reasoning.":[145]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}