{"id":"https://openalex.org/W7164999516","doi":"https://doi.org/10.48550/arxiv.2606.17350","title":"Do Large Language Models Always Tell The Same Stories?","display_name":"Do Large Language Models Always Tell The Same Stories?","publication_year":2026,"publication_date":"2026-06-15","ids":{"openalex":"https://openalex.org/W7164999516","doi":"https://doi.org/10.48550/arxiv.2606.17350"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.17350","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.17350","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.2606.17350","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5138779159","display_name":"Thennal DK","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"DK, Thennal","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5089338614","display_name":"Hans Ole Hatzel","orcid":"https://orcid.org/0000-0002-4586-7260"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hatzel, Hans Ole","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/T13910","display_name":"Computational and Text Analysis Methods","score":0.47119998931884766,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T13910","display_name":"Computational and Text Analysis Methods","score":0.47119998931884766,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12380","display_name":"Authorship Attribution and Profiling","score":0.10040000081062317,"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/T10028","display_name":"Topic Modeling","score":0.09730000048875809,"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/narrative","display_name":"Narrative","score":0.8331999778747559},{"id":"https://openalex.org/keywords/diversity","display_name":"Diversity (politics)","score":0.6194000244140625},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5217000246047974},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.5212000012397766},{"id":"https://openalex.org/keywords/natural-language-generation","display_name":"Natural language generation","score":0.4778999984264374},{"id":"https://openalex.org/keywords/frontier","display_name":"Frontier","score":0.44589999318122864},{"id":"https://openalex.org/keywords/human-language","display_name":"Human language","score":0.4032999873161316}],"concepts":[{"id":"https://openalex.org/C199033989","wikidata":"https://www.wikidata.org/wiki/Q1318295","display_name":"Narrative","level":2,"score":0.8331999778747559},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6837000250816345},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.621999979019165},{"id":"https://openalex.org/C2781316041","wikidata":"https://www.wikidata.org/wiki/Q1230584","display_name":"Diversity (politics)","level":2,"score":0.6194000244140625},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5282999873161316},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5217000246047974},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.5212000012397766},{"id":"https://openalex.org/C2776187449","wikidata":"https://www.wikidata.org/wiki/Q1513879","display_name":"Natural language generation","level":3,"score":0.4778999984264374},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.4717000126838684},{"id":"https://openalex.org/C2778571376","wikidata":"https://www.wikidata.org/wiki/Q1355821","display_name":"Frontier","level":2,"score":0.44589999318122864},{"id":"https://openalex.org/C2993724205","wikidata":"https://www.wikidata.org/wiki/Q315","display_name":"Human language","level":2,"score":0.4032999873161316},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.3968000113964081},{"id":"https://openalex.org/C2985684807","wikidata":"https://www.wikidata.org/wiki/Q1513879","display_name":"Text generation","level":2,"score":0.3635999858379364},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.3513000011444092},{"id":"https://openalex.org/C155092808","wikidata":"https://www.wikidata.org/wiki/Q182557","display_name":"Computational linguistics","level":2,"score":0.3447999954223633},{"id":"https://openalex.org/C2984703881","wikidata":"https://www.wikidata.org/wiki/Q2313085","display_name":"Language evolution","level":2,"score":0.27469998598098755},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.2685999870300293},{"id":"https://openalex.org/C2779439875","wikidata":"https://www.wikidata.org/wiki/Q1078276","display_name":"Natural language understanding","level":3,"score":0.25440001487731934},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.25380000472068787},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.25029999017715454}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.17350","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.17350","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.2606.17350","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.17350","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":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.48160994052886963}],"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":[2,102],"large":[3],"language":[4],"models":[5,20,101],"(LLMs)":[6],"have":[7],"enabled":[8],"the":[9,15,34,40,117],"generation":[10],"of":[11,17,23,36,42,52,120],"high-quality":[12],"prose,":[13],"yet":[14],"question":[16],"whether":[18],"these":[19],"are":[21,86],"capable":[22],"generating":[24],"diverse":[25],"outputs":[26],"remains":[27],"contested.":[28],"In":[29],"this":[30,140],"work,":[31],"we":[32,59,124],"investigate":[33],"diversity":[35,119],"LLM-generated":[37,84],"stories":[38,54,95,114],"through":[39],"framework":[41,48],"narrative":[43,61,109],"similarity.":[44],"Using":[45],"a":[46,50,81,106],"contrastive":[47],"and":[49,55,72,133],"dataset":[51],"human-written":[53,94],"prompts":[56],"from":[57],"r/WritingPrompts,":[58],"collect":[60],"similarity":[62],"judgments":[63],"across":[64],"10":[65],"representative":[66],"LLMs,":[67],"utilizing":[68],"both":[69],"human":[70,113,121],"evaluations":[71],"three":[73],"different":[74],"automatic":[75],"annotation":[76],"methods.":[77],"Our":[78],"findings":[79],"reveal":[80],"consistent":[82],"trend:":[83],"narratives":[85],"consistently":[87],"more":[88],"similar":[89],"to":[90,137],"each":[91],"other":[92],"than":[93],"are.":[96],"We":[97],"demonstrate":[98],"that":[99,110,126],"frontier":[100],"particular":[103],"converge":[104],"on":[105],"``mean''":[107],"generic":[108],"approximates":[111],"individual":[112],"but":[115],"lacks":[116],"collective":[118],"authors.":[122],"Finally,":[123],"show":[125],"common":[127],"mitigation":[128],"strategies,":[129],"including":[130],"negative":[131],"prompting":[132],"temperature":[134],"scaling,":[135],"fail":[136],"meaningfully":[138],"address":[139],"homogeneity.":[141]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-06-18T00:00:00"}