{"id":"https://openalex.org/W7163995432","doi":"https://doi.org/10.48550/arxiv.2606.07893","title":"Beyond Individual Personas: Aligning Synthetic Dialogue to Population-Level Behavior Distributions","display_name":"Beyond Individual Personas: Aligning Synthetic Dialogue to Population-Level Behavior Distributions","publication_year":2026,"publication_date":"2026-06-05","ids":{"openalex":"https://openalex.org/W7163995432","doi":"https://doi.org/10.48550/arxiv.2606.07893"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.07893","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.07893","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":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.2606.07893","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5138256294","display_name":"Xinyi Liu (186154)","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Xinyi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076711497","display_name":"Rinat Khaziev","orcid":"https://orcid.org/0000-0002-8566-3457"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Khaziev, Rinat","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050088104","display_name":"Hooshang Nayyeri","orcid":"https://orcid.org/0000-0001-8242-9983"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nayyeri, Hooshang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138237597","display_name":"Emine Yilmaz","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yilmaz, Emine","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134253238","display_name":"Charith Peris","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Peris, Charith","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5138257041","display_name":"Hari Thadakamalla","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Thadakamalla, Hari","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/T14074","display_name":"Persona Design and Applications","score":0.3682999908924103,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T14074","display_name":"Persona Design and Applications","score":0.3682999908924103,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T10028","display_name":"Topic Modeling","score":0.18459999561309814,"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/T12031","display_name":"Speech and dialogue systems","score":0.10980000346899033,"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/divergence","display_name":"Divergence (linguistics)","score":0.6305000185966492},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.5685999989509583},{"id":"https://openalex.org/keywords/core","display_name":"Core (optical fiber)","score":0.5354999899864197},{"id":"https://openalex.org/keywords/signature","display_name":"Signature (topology)","score":0.47119998931884766},{"id":"https://openalex.org/keywords/synthetic-data","display_name":"Synthetic data","score":0.4674000144004822},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.45339998602867126},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.43479999899864197},{"id":"https://openalex.org/keywords/probability-distribution","display_name":"Probability distribution","score":0.39079999923706055}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6542999744415283},{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.6305000185966492},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.595300018787384},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.5685999989509583},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.5354999899864197},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4950000047683716},{"id":"https://openalex.org/C2779696439","wikidata":"https://www.wikidata.org/wiki/Q7512811","display_name":"Signature (topology)","level":2,"score":0.47119998931884766},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.4674000144004822},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.45339998602867126},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.43479999899864197},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.39079999923706055},{"id":"https://openalex.org/C171752962","wikidata":"https://www.wikidata.org/wiki/Q255166","display_name":"Kullback\u2013Leibler divergence","level":2,"score":0.3411000072956085},{"id":"https://openalex.org/C2993060064","wikidata":"https://www.wikidata.org/wiki/Q49918","display_name":"Population mean","level":3,"score":0.320499986410141},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.2969000041484833},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.29010000824928284},{"id":"https://openalex.org/C24756922","wikidata":"https://www.wikidata.org/wiki/Q1757694","display_name":"Data quality","level":3,"score":0.28850001096725464},{"id":"https://openalex.org/C2778334786","wikidata":"https://www.wikidata.org/wiki/Q1586270","display_name":"Variation (astronomy)","level":2,"score":0.2782999873161316},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.2782000005245209},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.27799999713897705},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.27239999175071716},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.25360000133514404}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.07893","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.07893","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":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.2606.07893","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.07893","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":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":{"Synthetic":[0],"dialogue":[1,10,39,94],"corpora":[2,40,91,140],"are":[3],"increasingly":[4],"used":[5],"as":[6],"proxies":[7],"for":[8,167],"target":[9],"data,":[11],"yet":[12],"persona-grounded":[13],"generators":[14],"optimize":[15],"individual":[16],"conversations":[17],"rather":[18],"than":[19],"corpus":[20],"composition,":[21],"yielding":[22],"locally":[23],"plausible":[24],"dialogues":[25],"with":[26,99],"distorted":[27],"population-level":[28],"behavior":[29,43,117],"mixes.":[30],"We":[31,86],"introduce":[32],"GroupPersona,":[33],"a":[34,46,129],"framework":[35],"that":[36,81],"aligns":[37],"synthetic":[38,111],"to":[41,73,121,124,151,163],"the":[42,69,78,83,125,148,160,168],"distribution":[44],"of":[45],"reference":[47,84,113],"corpus.":[48],"GroupPersona":[49,88,106],"turns":[50],"population":[51],"statistics":[52],"into":[53],"generation":[54],"controls:":[55],"it":[56],"separates":[57],"each":[58],"dialogue's":[59],"core":[60],"behavioral":[61,71],"signature":[62],"from":[63,119,159],"predictable":[64],"side":[65],"effects,":[66],"and":[67,97,104,112,132],"uses":[68],"resulting":[70],"groups":[72],"condition":[74],"user":[75],"agents":[76],"on":[77,89,137],"interaction":[79],"patterns":[80],"define":[82],"population.":[85],"evaluate":[87],"four":[90,139],"crossing":[92],"two":[93,100],"sources,":[95],"assistant-style":[96],"Reddit-derived,":[98],"construction":[101],"variants:":[102],"structure-preserving":[103],"variation-enhanced.":[105],"lowers":[107],"Jensen-Shannon":[108],"divergence":[109],"between":[110],"distributions":[114],"over":[115],"12":[116],"attributes":[118],"0.234":[120],"0.177":[122],"relative":[123],"strongest":[126],"average":[127],"baseline,":[128],"24.4%":[130],"reduction,":[131],"is":[133],"best":[134],"or":[135],"tied-best":[136],"all":[138],"while":[141],"preserving":[142],"structural":[143],"alignment.":[144],"It":[145],"also":[146],"achieves":[147],"closest":[149],"calibration":[150],"reference-conversation":[152,161],"quality":[153],"scores,":[154],"reducing":[155],"mean":[156],"absolute":[157],"deviation":[158],"profile":[162],"0.63":[164],"versus":[165],"0.91":[166],"next-best":[169],"baseline.":[170]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-06-10T00:00:00"}
