{"id":"https://openalex.org/W4412887734","doi":"https://doi.org/10.18653/v1/2025.findings-acl.1029","title":"MotiveBench: How Far Are We From Human-Like Motivational Reasoning in Large Language Models?","display_name":"MotiveBench: How Far Are We From Human-Like Motivational Reasoning in Large Language Models?","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4412887734","doi":"https://doi.org/10.18653/v1/2025.findings-acl.1029"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2025.findings-acl.1029","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-acl.1029","pdf_url":"https://aclanthology.org/2025.findings-acl.1029.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.1029.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5119181200","display_name":"Xixian Yong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xixian Yong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087106517","display_name":"Jianxun Lian","orcid":"https://orcid.org/0000-0003-3108-5601"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jianxun Lian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040961637","display_name":"Xiaoyuan Yi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaoyuan Yi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003557086","display_name":"Xiao Zhou","orcid":"https://orcid.org/0000-0002-4985-0394"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiao Zhou","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5100871658","display_name":"Xing Xie","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xing Xie","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":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14197601,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"20059","last_page":"20089"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.8163999915122986,"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":0.8163999915122986,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.7001000046730042,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.6464999914169312,"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":0.6404491662979126},{"id":"https://openalex.org/keywords/cognitive-science","display_name":"Cognitive science","score":0.3603736460208893},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.2563968300819397}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6404491662979126},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.3603736460208893},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2563968300819397}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2025.findings-acl.1029","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-acl.1029","pdf_url":"https://aclanthology.org/2025.findings-acl.1029.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.1029","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-acl.1029","pdf_url":"https://aclanthology.org/2025.findings-acl.1029.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":[],"funders":[{"id":"https://openalex.org/F4320322499","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412887734.pdf","grobid_xml":"https://content.openalex.org/works/W4412887734.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Large":[0],"language":[1],"models":[2],"(LLMs)":[3],"have":[4],"been":[5],"widely":[6],"adopted":[7],"as":[8,18],"the":[9,24,44,101,118,146],"core":[10],"of":[11,46,65,77,148],"agent":[12],"frameworks":[13],"in":[14,50,108,122],"various":[15],"scenarios,":[16],"such":[17],"social":[19],"simulations":[20],"and":[21,43,70,92,129,135,152],"AI":[22],"companions.However,":[23],"extent":[25],"to":[26],"which":[27,63],"they":[28],"can":[29],"replicate":[30],"human-like":[31,110],"motivations":[32,128],"remains":[33],"an":[34,51],"underexplored":[35],"question.Existing":[36],"benchmarks":[37],"are":[38,154],"constrained":[39],"by":[40],"simplistic":[41],"scenarios":[42,69],"absence":[45],"character":[47],"identities,":[48],"resulting":[49],"information":[52],"asymmetry":[53],"with":[54],"real-world":[55],"situations.To":[56],"address":[57],"this":[58],"gap,":[59],"we":[60,80],"propose":[61],"MOTIVEBENCH,":[62,79],"consists":[64],"200":[66],"rich":[67],"contextual":[68],"600":[71],"reasoning":[72,123],"tasks":[73],"covering":[74],"multiple":[75],"levels":[76],"motivation.Using":[78],"conduct":[81],"extensive":[82],"experiments":[83],"on":[84,145],"seven":[85],"popular":[86],"model":[87],"families,":[88],"comparing":[89],"different":[90],"scales":[91],"versions":[93],"within":[94],"each":[95],"family.The":[96],"results":[97],"show":[98],"that":[99],"even":[100],"most":[102],"advanced":[103],"LLMs":[104,120],"still":[105],"fall":[106],"short":[107],"achieving":[109],"motivational":[111],"reasoning.Our":[112],"analysis":[113],"reveals":[114],"key":[115],"findings,":[116],"including":[117],"difficulty":[119],"face":[121],"about":[124],"\"love":[125],"&":[126],"belonging\"":[127],"their":[130],"tendency":[131],"toward":[132],"excessive":[133],"rationality":[134],"idealism.These":[136],"insights":[137],"highlight":[138],"a":[139],"promising":[140],"direction":[141],"for":[142],"future":[143],"research":[144],"humanization":[147],"LLMs.The":[149],"dataset,":[150],"benchmark,":[151],"code":[153],"available":[155],"at":[156],"https://aka.ms/motivebench.":[157]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}