{"id":"https://openalex.org/W7138140258","doi":"https://doi.org/10.1609/aaai.v40i39.40567","title":"Assessing the Capabilities of LLMs in Humor: A Multi-dimensional Analysis of Oogiri Generation and Evaluation","display_name":"Assessing the Capabilities of LLMs in Humor: A Multi-dimensional Analysis of Oogiri Generation and Evaluation","publication_year":2026,"publication_date":"2026-03-14","ids":{"openalex":"https://openalex.org/W7138140258","doi":"https://doi.org/10.1609/aaai.v40i39.40567"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v40i39.40567","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i39.40567","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/40567/44528","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ojs.aaai.org/index.php/AAAI/article/download/40567/44528","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5125703619","display_name":"Ritsu Sakabe","orcid":null},"institutions":[{"id":"https://openalex.org/I111428342","display_name":"Hitotsubashi University","ror":"https://ror.org/04jqj7p05","country_code":"JP","type":"education","lineage":["https://openalex.org/I111428342"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ritsu Sakabe","raw_affiliation_strings":["Hitotsubashi University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hitotsubashi University","institution_ids":["https://openalex.org/I111428342"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066853717","display_name":"Hwichan Kim","orcid":"https://orcid.org/0009-0007-3146-4085"},"institutions":[{"id":"https://openalex.org/I111428342","display_name":"Hitotsubashi University","ror":"https://ror.org/04jqj7p05","country_code":"JP","type":"education","lineage":["https://openalex.org/I111428342"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hwichan Kim","raw_affiliation_strings":["Hitotsubashi University\nTokyo Metropolitan University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hitotsubashi University\nTokyo Metropolitan University","institution_ids":["https://openalex.org/I111428342"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014468179","display_name":"Tosho Hirasawa","orcid":"https://orcid.org/0000-0003-4657-8214"},"institutions":[{"id":"https://openalex.org/I111428342","display_name":"Hitotsubashi University","ror":"https://ror.org/04jqj7p05","country_code":"JP","type":"education","lineage":["https://openalex.org/I111428342"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tosho Hirasawa","raw_affiliation_strings":["Hitotsubashi University\nTokyo Metropolitan University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hitotsubashi University\nTokyo Metropolitan University","institution_ids":["https://openalex.org/I111428342"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061931124","display_name":"Mamoru Komachi","orcid":"https://orcid.org/0000-0003-1166-1739"},"institutions":[{"id":"https://openalex.org/I111428342","display_name":"Hitotsubashi University","ror":"https://ror.org/04jqj7p05","country_code":"JP","type":"education","lineage":["https://openalex.org/I111428342"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Mamoru Komachi","raw_affiliation_strings":["Hitotsubashi University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hitotsubashi University","institution_ids":["https://openalex.org/I111428342"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I111428342"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"40","issue":"39","first_page":"32867","last_page":"32874"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11795","display_name":"Humor Studies and Applications","score":0.9941999912261963,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11795","display_name":"Humor Studies and Applications","score":0.9941999912261963,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social 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/T11148","display_name":"Language, Metaphor, and Cognition","score":0.0006000000284984708,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.0005000000237487257,"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/replicate","display_name":"Replicate","score":0.4172999858856201},{"id":"https://openalex.org/keywords/empathy","display_name":"Empathy","score":0.38359999656677246},{"id":"https://openalex.org/keywords/frontier","display_name":"Frontier","score":0.3666999936103821},{"id":"https://openalex.org/keywords/through-the-lens-metering","display_name":"Through-the-lens metering","score":0.3472999930381775},{"id":"https://openalex.org/keywords/spoken-language","display_name":"Spoken language","score":0.3246999979019165},{"id":"https://openalex.org/keywords/japanese-language","display_name":"Japanese language","score":0.302700012922287},{"id":"https://openalex.org/keywords/divergence","display_name":"Divergence (linguistics)","score":0.2996000051498413}],"concepts":[{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.41819998621940613},{"id":"https://openalex.org/C2781162219","wikidata":"https://www.wikidata.org/wiki/Q26250693","display_name":"Replicate","level":2,"score":0.4172999858856201},{"id":"https://openalex.org/C2779885105","wikidata":"https://www.wikidata.org/wiki/Q182263","display_name":"Empathy","level":2,"score":0.38359999656677246},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.36820000410079956},{"id":"https://openalex.org/C2778571376","wikidata":"https://www.wikidata.org/wiki/Q1355821","display_name":"Frontier","level":2,"score":0.3666999936103821},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.3483000099658966},{"id":"https://openalex.org/C43091099","wikidata":"https://www.wikidata.org/wiki/Q1067788","display_name":"Through-the-lens metering","level":3,"score":0.3472999930381775},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3449000120162964},{"id":"https://openalex.org/C2776230583","wikidata":"https://www.wikidata.org/wiki/Q1322198","display_name":"Spoken language","level":2,"score":0.3246999979019165},{"id":"https://openalex.org/C2988323515","wikidata":"https://www.wikidata.org/wiki/Q5287","display_name":"Japanese language","level":2,"score":0.302700012922287},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.30239999294281006},{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.2996000051498413},{"id":"https://openalex.org/C2776187449","wikidata":"https://www.wikidata.org/wiki/Q1513879","display_name":"Natural language generation","level":3,"score":0.29919999837875366},{"id":"https://openalex.org/C125468537","wikidata":"https://www.wikidata.org/wiki/Q214961","display_name":"Improvisation","level":2,"score":0.29249998927116394},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.2912999987602234},{"id":"https://openalex.org/C2777200299","wikidata":"https://www.wikidata.org/wiki/Q52943","display_name":"Conversation","level":2,"score":0.28060001134872437},{"id":"https://openalex.org/C548253320","wikidata":"https://www.wikidata.org/wiki/Q157443","display_name":"Comedy","level":2,"score":0.2754000127315521},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2720000147819519},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.2639000117778778},{"id":"https://openalex.org/C2781089502","wikidata":"https://www.wikidata.org/wiki/Q2917873","display_name":"Human development (humanity)","level":2,"score":0.2624000012874603},{"id":"https://openalex.org/C105409693","wikidata":"https://www.wikidata.org/wiki/Q5937824","display_name":"Human intelligence","level":2,"score":0.2597000002861023},{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.2590999901294708},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.257099986076355}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1609/aaai.v40i39.40567","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i39.40567","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/40567/44528","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:ojs.aaai.org:article/40567","is_oa":false,"landing_page_url":"https://ojs.aaai.org/index.php/AAAI/article/view/40567","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2159-5399","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1609/aaai.v40i39.40567","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i39.40567","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/40567/44528","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.8592042922973633,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G883572494","display_name":"What Constitutes Good Writing? &#8212; An Analysis of Human Preference Biases in Language","funder_award_id":"25K03178","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"},{"id":"https://openalex.org/F4320338111","display_name":"Precursory Research for Embryonic Science and Technology","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7138140258.pdf","grobid_xml":"https://content.openalex.org/works/W7138140258.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Computational":[0],"humor":[1,26,56,196],"is":[2,45,57],"a":[3,52,72,157,170,180,208],"frontier":[4],"for":[5,233],"creating":[6],"advanced":[7],"and":[8,59,93,123,147,174,202,240],"engaging":[9],"natural":[10],"language":[11],"processing":[12],"(NLP)":[13],"applications,":[14],"such":[15,40],"as":[16,41],"sophisticated":[17,241],"dialogue":[18],"systems.":[19],"While":[20],"previous":[21],"studies":[22],"have":[23,34],"benchmarked":[24],"the":[25,68,96,131,152,227,231,234],"capabilities":[27,132],"of":[28,55,70,74,133,154,183,200,236],"Large":[29],"Language":[30],"Models":[31],"(LLMs),":[32],"they":[33,178],"often":[35],"relied":[36],"on":[37,136],"single-dimensional":[38],"evaluations,":[39],"judging":[42],"whether":[43],"something":[44],"simply":[46],"``funny.''":[47],"This":[48,185],"paper":[49],"argues":[50],"that":[51,163],"multifaceted":[53],"understanding":[54],"necessary":[58],"addresses":[60],"this":[61,108,127],"gap":[62],"by":[63,102],"systematically":[64],"evaluating":[65],"LLMs":[66,135,165,214],"through":[67],"lens":[69],"Oogiri,":[71],"form":[73],"Japanese":[75],"improvisational":[76],"comedy":[77],"games.":[78],"To":[79],"achieve":[80],"this,":[81],"we":[82,129],"expanded":[83,109],"upon":[84],"existing":[85],"Oogiri":[86,99,145],"datasets":[87],"with":[88,98,111],"data":[89,205],"from":[90],"new":[91],"sources":[92],"then":[94,105],"augmented":[95],"collection":[97,110],"responses":[100,146,155,168],"generated":[101],"LLMs.":[103],"We":[104,221],"manually":[106],"annotated":[107,224],"5-point":[112],"absolute":[113],"ratings":[114],"across":[115],"six":[116],"dimensions:":[117],"Novelty,":[118,216],"Clarity,":[119],"Relevance,":[120],"Intelligence,":[121],"Empathy,":[122],"Overall":[124],"Funniness.":[125],"Using":[126],"dataset,":[128],"assessed":[130],"state-of-the-art":[134],"two":[137],"core":[138],"tasks:":[139],"their":[140,148,191],"ability":[141,149],"to":[142,150,193,226,229],"generate":[143,167],"creative":[144],"evaluate":[151],"funniness":[153],"using":[156],"six-dimensional":[158],"evaluation.":[159],"Our":[160],"results":[161],"show":[162],"while":[164],"can":[166],"at":[169],"level":[171],"between":[172],"low-":[173],"mid-tier":[175],"human":[176,195,201],"performance,":[177],"exhibit":[179],"notable":[181],"lack":[182],"Empathy.":[184,220],"deficit":[186],"in":[187,211],"Empathy":[188],"helps":[189],"explain":[190],"failure":[192],"replicate":[194],"assessment.":[197],"Correlation":[198],"analyses":[199],"model":[203],"evaluation":[204,212],"further":[206],"reveal":[207],"fundamental":[209],"divergence":[210],"criteria:":[213],"prioritize":[215,219],"whereas":[217],"humans":[218],"release":[222],"our":[223],"corpus":[225],"community":[228],"pave":[230],"way":[232],"development":[235],"more":[237],"emotionally":[238],"intelligent":[239],"conversational":[242],"agents.":[243]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-03-18T00:00:00"}
