{"id":"https://openalex.org/W7161568257","doi":"https://doi.org/10.48550/arxiv.2605.15473","title":"Validated Hypotheses as a Lens for Human-Likeness Evaluation in AI Agents","display_name":"Validated Hypotheses as a Lens for Human-Likeness Evaluation in AI Agents","publication_year":2026,"publication_date":"2026-05-14","ids":{"openalex":"https://openalex.org/W7161568257","doi":"https://doi.org/10.48550/arxiv.2605.15473"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.15473","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.15473","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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.2605.15473","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5136381844","display_name":"Xuan Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Xuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101366414","display_name":"Haoyang Shang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shang, HaoYang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124094246","display_name":"Zizhang Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Zizhang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136419134","display_name":"Yuanjun Feng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Feng, Yuanjun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136380633","display_name":"Guankai Zhai","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhai, Guankai","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136441938","display_name":"Yunze Xiao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiao, Yunze","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124970336","display_name":"Yiwen Tu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tu, Yiwen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5032046097","display_name":"Haojian Jin","orcid":"https://orcid.org/0000-0001-5212-2235"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jin, Haojian","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/T10709","display_name":"Social Robot Interaction and HRI","score":0.12300000339746475,"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/T10709","display_name":"Social Robot Interaction and HRI","score":0.12300000339746475,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.09880000352859497,"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":0.07880000025033951,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/replication","display_name":"Replication (statistics)","score":0.6563000082969666},{"id":"https://openalex.org/keywords/operationalization","display_name":"Operationalization","score":0.590499997138977},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5763999819755554},{"id":"https://openalex.org/keywords/suite","display_name":"Suite","score":0.5526000261306763},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5307999849319458},{"id":"https://openalex.org/keywords/lens","display_name":"Lens (geology)","score":0.5151000022888184},{"id":"https://openalex.org/keywords/through-the-lens-metering","display_name":"Through-the-lens metering","score":0.3813000023365021},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.36039999127388}],"concepts":[{"id":"https://openalex.org/C12590798","wikidata":"https://www.wikidata.org/wiki/Q3933199","display_name":"Replication (statistics)","level":2,"score":0.6563000082969666},{"id":"https://openalex.org/C9354725","wikidata":"https://www.wikidata.org/wiki/Q286017","display_name":"Operationalization","level":2,"score":0.590499997138977},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5763999819755554},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5723999738693237},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5656999945640564},{"id":"https://openalex.org/C79581498","wikidata":"https://www.wikidata.org/wiki/Q1367530","display_name":"Suite","level":2,"score":0.5526000261306763},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5307999849319458},{"id":"https://openalex.org/C15336307","wikidata":"https://www.wikidata.org/wiki/Q1766051","display_name":"Lens (geology)","level":2,"score":0.5151000022888184},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.423799991607666},{"id":"https://openalex.org/C43091099","wikidata":"https://www.wikidata.org/wiki/Q1067788","display_name":"Through-the-lens metering","level":3,"score":0.3813000023365021},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.36039999127388},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.3490999937057495},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.32249999046325684},{"id":"https://openalex.org/C2780873155","wikidata":"https://www.wikidata.org/wiki/Q392811","display_name":"Agent-based model","level":2,"score":0.296099990606308},{"id":"https://openalex.org/C2780527195","wikidata":"https://www.wikidata.org/wiki/Q5422874","display_name":"Eyewear","level":2,"score":0.28859999775886536},{"id":"https://openalex.org/C87007009","wikidata":"https://www.wikidata.org/wiki/Q210832","display_name":"Statistical hypothesis testing","level":2,"score":0.2793999910354614},{"id":"https://openalex.org/C134261354","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical inference","level":2,"score":0.27469998598098755},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.2590999901294708},{"id":"https://openalex.org/C2780385302","wikidata":"https://www.wikidata.org/wiki/Q367158","display_name":"Protocol (science)","level":3,"score":0.2590999901294708}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.15473","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.15473","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.15473","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.15473","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.46669238805770874,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"We":[0,78,127],"propose":[1],"using":[2],"validated":[3,54],"behavioral":[4],"hypotheses":[5,136],"as":[6,36],"a":[7,25],"lens":[8,81],"for":[9,115,124],"evaluating":[10],"human-likeness":[11],"in":[12],"LLM-based":[13],"agents.":[14,102],"Our":[15],"key":[16],"idea":[17],"is":[18,23,73,174],"simple:":[19],"If":[20],"an":[21,70,84,129],"agent":[22,149,154,163],"human-like,":[24],"population":[26,39],"of":[27,47,132],"such":[28,53],"agents":[29],"should":[30],"reach":[31],"the":[32,37,43,98,110,119],"same":[33,44],"inferential":[34,116],"conclusion":[35],"human":[38],"when":[40],"run":[41],"through":[42,65,82,140],"experiment.":[45],"Decades":[46],"social":[48],"science":[49],"have":[50],"produced":[51],"many":[52],"findings,":[55],"each":[56],"anchored":[57],"to":[58,100],"concrete":[59],"experimental":[60],"protocols":[61],"and":[62,76,96,118,143,160],"robustly":[63,138],"established":[64,139],"independent":[66,141],"replication.":[67],"This":[68],"yields":[69],"evaluation":[71,99],"that":[72,87,153],"objective,":[74],"decomposable,":[75],"scalable.":[77],"operationalize":[79],"this":[80],"HumanStudy-Bench,":[83],"open":[85],"platform":[86],"turns":[88],"published":[89],"human-subject":[90],"studies":[91,134],"into":[92],"reusable":[93],"simulation":[94],"environments":[95],"administers":[97],"configurable":[101],"It":[103],"scores":[104],"agent-human":[105],"alignment":[106,166],"on":[107],"two":[108],"metrics:":[109],"Probability":[111],"Alignment":[112],"Score":[113,122],"(PAS)":[114],"agreement":[117],"Effect":[120],"Consistency":[121],"(ECS)":[123],"effect-size":[125],"agreement.":[126],"curated":[128],"initial":[130],"suite":[131],"12":[133],"whose":[135],"are":[137],"replication,":[142],"evaluated":[144],"10":[145],"models":[146],"under":[147],"4":[148],"designs.":[150],"Results":[151],"show":[152],"responses":[155],"polarize":[156],"between":[157],"full":[158],"replication":[159],"complete":[161],"failure;":[162],"design":[164],"influences":[165],"more":[167],"than":[168],"model":[169],"scale,":[170],"but":[171],"its":[172],"effect":[173],"non-monotonic.":[175]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-19T00:00:00"}
