{"id":"https://openalex.org/W7160392825","doi":"https://doi.org/10.48550/arxiv.2605.02910","title":"CreativityBench: Evaluating Agent Creative Reasoning via Affordance-Based Tool Repurposing","display_name":"CreativityBench: Evaluating Agent Creative Reasoning via Affordance-Based Tool Repurposing","publication_year":2026,"publication_date":"2026-04-06","ids":{"openalex":"https://openalex.org/W7160392825","doi":"https://doi.org/10.48550/arxiv.2605.02910"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.02910","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.02910","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.02910","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5135531892","display_name":"Cheng Qian","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qian, Cheng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135452216","display_name":"Hyeonjeong Ha","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ha, Hyeonjeong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135428404","display_name":"Jiayu Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Jiayu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135423217","display_name":"Jeonghwan Kim","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kim, Jeonghwan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135485302","display_name":"Jiateng Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Jiateng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135487974","display_name":"Bingxuan Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Bingxuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125910190","display_name":"Aditi Tiwari","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tiwari, Aditi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023899979","display_name":"Dwip Dalal","orcid":"https://orcid.org/0009-0007-4063-1076"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dalal, Dwip","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135519750","display_name":"Zhenhailong Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Zhenhailong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135523125","display_name":"Xiusi Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Xiusi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026771837","display_name":"Mahdi Namazifar","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Namazifar, Mahdi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135434129","display_name":"Yunzhu Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Yunzhu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5135434129","display_name":"Yunzhu Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ji, Heng","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":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10906","display_name":"AI-based Problem Solving and Planning","score":0.0982000008225441,"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/T10906","display_name":"AI-based Problem Solving and Planning","score":0.0982000008225441,"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/T11883","display_name":"Embodied and Extended Cognition","score":0.09570000320672989,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.08150000125169754,"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/affordance","display_name":"Affordance","score":0.8134999871253967},{"id":"https://openalex.org/keywords/visual-reasoning","display_name":"Visual reasoning","score":0.4977000057697296},{"id":"https://openalex.org/keywords/qualitative-reasoning","display_name":"Qualitative reasoning","score":0.4690000116825104},{"id":"https://openalex.org/keywords/testbed","display_name":"Testbed","score":0.4323999881744385},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.41119998693466187},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.4002000093460083},{"id":"https://openalex.org/keywords/model-based-reasoning","display_name":"Model-based reasoning","score":0.3970000147819519},{"id":"https://openalex.org/keywords/creativity","display_name":"Creativity","score":0.39010000228881836},{"id":"https://openalex.org/keywords/knowledge-base","display_name":"Knowledge base","score":0.3783000111579895}],"concepts":[{"id":"https://openalex.org/C194995250","wikidata":"https://www.wikidata.org/wiki/Q531136","display_name":"Affordance","level":2,"score":0.8134999871253967},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6883999705314636},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.567300021648407},{"id":"https://openalex.org/C2777508537","wikidata":"https://www.wikidata.org/wiki/Q7936620","display_name":"Visual reasoning","level":2,"score":0.4977000057697296},{"id":"https://openalex.org/C83725634","wikidata":"https://www.wikidata.org/wiki/Q7268699","display_name":"Qualitative reasoning","level":2,"score":0.4690000116825104},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.43529999256134033},{"id":"https://openalex.org/C31395832","wikidata":"https://www.wikidata.org/wiki/Q1318674","display_name":"Testbed","level":2,"score":0.4323999881744385},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.41119998693466187},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.4002000093460083},{"id":"https://openalex.org/C37335422","wikidata":"https://www.wikidata.org/wiki/Q6888134","display_name":"Model-based reasoning","level":3,"score":0.3970000147819519},{"id":"https://openalex.org/C11012388","wikidata":"https://www.wikidata.org/wiki/Q170658","display_name":"Creativity","level":2,"score":0.39010000228881836},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.3783000111579895},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.3630000054836273},{"id":"https://openalex.org/C20162079","wikidata":"https://www.wikidata.org/wiki/Q1151406","display_name":"Case-based reasoning","level":2,"score":0.3546000123023987},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.34119999408721924},{"id":"https://openalex.org/C161301231","wikidata":"https://www.wikidata.org/wiki/Q3478658","display_name":"Knowledge representation and reasoning","level":2,"score":0.32510000467300415},{"id":"https://openalex.org/C519536355","wikidata":"https://www.wikidata.org/wiki/Q21021151","display_name":"Repurposing","level":2,"score":0.3228999972343445},{"id":"https://openalex.org/C166088908","wikidata":"https://www.wikidata.org/wiki/Q308495","display_name":"Abductive reasoning","level":2,"score":0.3109999895095825},{"id":"https://openalex.org/C2775941552","wikidata":"https://www.wikidata.org/wiki/Q25212305","display_name":"Isolation (microbiology)","level":2,"score":0.3102000057697296},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.30230000615119934},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.2971999943256378},{"id":"https://openalex.org/C89288958","wikidata":"https://www.wikidata.org/wiki/Q7301504","display_name":"Reasoning system","level":2,"score":0.29019999504089355},{"id":"https://openalex.org/C2779231336","wikidata":"https://www.wikidata.org/wiki/Q7534724","display_name":"Sketch","level":2,"score":0.2883000075817108},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.28529998660087585},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.2833000123500824},{"id":"https://openalex.org/C195344581","wikidata":"https://www.wikidata.org/wiki/Q2555318","display_name":"Automated reasoning","level":2,"score":0.2793000042438507},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.26420000195503235},{"id":"https://openalex.org/C162027153","wikidata":"https://www.wikidata.org/wiki/Q2264109","display_name":"Artificial general intelligence","level":2,"score":0.25870001316070557},{"id":"https://openalex.org/C103057564","wikidata":"https://www.wikidata.org/wiki/Q4751139","display_name":"Analytic reasoning","level":3,"score":0.2581000030040741},{"id":"https://openalex.org/C171268870","wikidata":"https://www.wikidata.org/wiki/Q1486676","display_name":"GRASP","level":2,"score":0.25189998745918274},{"id":"https://openalex.org/C134448949","wikidata":"https://www.wikidata.org/wiki/Q1384274","display_name":"Expediting","level":2,"score":0.25119999051094055}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.02910","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.02910","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.02910","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.02910","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Recent":[0],"advances":[1],"in":[2,67,157,223],"large":[3],"language":[4],"models":[5,126],"have":[6],"led":[7],"to":[8,135,148,153,173],"strong":[9,166],"performance":[10],"on":[11,51,96],"reasoning":[12,42,168,221],"and":[13,46,83,92,121,142,177,201,220],"environment-interaction":[14],"tasks,":[15],"yet":[16,108],"their":[17,44,140],"ability":[18],"for":[19,63,198,208,218],"creative":[20,32,174,191],"problem-solving":[21],"remains":[22,194],"underexplored.":[23],"We":[24],"study":[25],"this":[26,70,97,210],"capability":[27],"through":[28],"the":[29,137,143,150],"lens":[30],"of":[31,213],"tool":[33,192],"use,":[34],"where":[35],"a":[36,55,61,74,130,154,195,205],"model":[37,162],"repurposes":[38],"available":[39],"objects":[40],"by":[41],"about":[43],"affordances":[45],"attributes":[47],"rather":[48],"than":[49],"relying":[50],"canonical":[52],"usage.":[53],"As":[54],"first":[56],"step,":[57],"we":[58,72,99],"introduce":[59],"CreativityBench,":[60],"benchmark":[62],"evaluating":[64],"affordance-based":[65],"creativity":[66],"LLMs.":[68],"To":[69],"end,":[71],"build":[73],"large-scale":[75],"affordance":[76,85,175],"knowledge":[77],"base":[78],"(KB)":[79],"with":[80,215],"4K":[81],"entities":[82],"150K+":[84],"annotations,":[86],"explicitly":[87],"linking":[88],"objects,":[89],"parts,":[90,139],"attributes,":[91],"actionable":[93],"uses.":[94],"Building":[95],"KB,":[98],"generate":[100],"14K":[101],"grounded":[102],"tasks":[103],"that":[104,125,190,202],"require":[105],"identifying":[106],"non-obvious":[107],"physically":[109],"plausible":[110,131],"solutions":[111],"under":[112],"constraints.":[113],"Evaluations":[114],"across":[115],"10":[116],"state-of-the-art":[117],"LLMs,":[118],"including":[119],"closed":[120],"open-source":[122],"models,":[123,200],"show":[124],"can":[127],"often":[128],"select":[129],"object,":[132],"but":[133],"fail":[134],"identify":[136],"correct":[138],"affordances,":[141],"underlying":[144],"physical":[145],"mechanism":[146],"needed":[147],"solve":[149],"task,":[151],"leading":[152],"significant":[155],"drop":[156],"performance.":[158],"Furthermore,":[159],"improvements":[160],"from":[161],"scaling":[163],"quickly":[164],"saturate,":[165],"general":[167],"does":[169],"not":[170],"reliably":[171],"translate":[172],"discovery,":[176],"common":[178],"inference-time":[179],"strategies":[180],"such":[181],"as":[182],"Chain-of-Thought":[183],"yield":[184],"limited":[185],"gains.":[186],"These":[187],"results":[188],"suggest":[189],"use":[193],"major":[196],"challenge":[197],"current":[199],"CreativityBench":[203],"provides":[204],"useful":[206],"testbed":[207],"studying":[209],"missing":[211],"dimension":[212],"intelligence,":[214],"potential":[216],"implications":[217],"planning":[219],"modules":[222],"future":[224],"agents.":[225]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-05-07T00:00:00"}