{"id":"https://openalex.org/W4412887923","doi":"https://doi.org/10.18653/v1/2025.findings-acl.1094","title":"Beyond Profile: From Surface-Level Facts to Deep Persona Simulation in LLMs","display_name":"Beyond Profile: From Surface-Level Facts to Deep Persona Simulation in LLMs","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4412887923","doi":"https://doi.org/10.18653/v1/2025.findings-acl.1094"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2025.findings-acl.1094","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-acl.1094","pdf_url":"https://aclanthology.org/2025.findings-acl.1094.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.1094.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Zixiao Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zixiao Wang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5116335884","display_name":"Duzhen Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Duzhen Zhang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5119181253","display_name":"Ishita Agarwal","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ishita Agarwal","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102200593","display_name":"Shen Gao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shen Gao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103912496","display_name":"Le Song","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Le Song","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5101568161","display_name":"Xiuying Chen","orcid":"https://orcid.org/0000-0001-7598-0363"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiuying Chen","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":true,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"21239","last_page":"21257"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14074","display_name":"Persona Design and Applications","score":0.9907000064849854,"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":0.9907000064849854,"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/T10703","display_name":"Business Process Modeling and Analysis","score":0.9550999999046326,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10883","display_name":"Ethics and Social Impacts of AI","score":0.9099000096321106,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/persona","display_name":"Persona","score":0.7616089582443237},{"id":"https://openalex.org/keywords/surface","display_name":"Surface (topology)","score":0.4683710038661957},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.43700820207595825},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.24577239155769348},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11228540539741516},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.08359256386756897}],"concepts":[{"id":"https://openalex.org/C313442","wikidata":"https://www.wikidata.org/wiki/Q778556","display_name":"Persona","level":2,"score":0.7616089582443237},{"id":"https://openalex.org/C2776799497","wikidata":"https://www.wikidata.org/wiki/Q484298","display_name":"Surface (topology)","level":2,"score":0.4683710038661957},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43700820207595825},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.24577239155769348},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11228540539741516},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.08359256386756897}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2025.findings-acl.1094","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-acl.1094","pdf_url":"https://aclanthology.org/2025.findings-acl.1094.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.1094","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-acl.1094","pdf_url":"https://aclanthology.org/2025.findings-acl.1094.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/F4320325295","display_name":"Zayed University","ror":"https://ror.org/03snqfa66"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412887923.pdf","grobid_xml":"https://content.openalex.org/works/W4412887923.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/W2795366572","https://openalex.org/W2886588594","https://openalex.org/W3005214328","https://openalex.org/W2610743940","https://openalex.org/W4312802148","https://openalex.org/W4285553851","https://openalex.org/W4285550479"],"abstract_inverted_index":{"Previous":[0],"approaches":[1],"to":[2,23,40,53,155],"persona":[3,199],"simulation":[4,200],"large":[5],"language":[6,160],"models":[7],"(LLMs)":[8],"have":[9],"typically":[10],"relied":[11],"on":[12,98,170,186,196],"learning":[13,133],"basic":[14],"biographical":[15],"information,":[16],"or":[17,38],"using":[18],"limited":[19],"role-play":[20],"dialogue":[21],"datasets":[22],"capture":[24],"a":[25,28,50,70,74,79,94,139,145],"character's":[26],"responses.However,":[27],"holistic":[29],"representation":[30],"of":[31,69,165,206],"an":[32],"individual":[33],"goes":[34],"beyond":[35],"surface-level":[36],"facts":[37],"conversations":[39],"deeper":[41,166],"thoughts":[42],"and":[43,59,103,117,129,162,176],"thinking.In":[44],"this":[45,191],"work,":[46],"we":[47,82,137],"introduce":[48,138],"CharacterBot,":[49],"model":[51],"designed":[52],"replicate":[54],"both":[55,158],"the":[56,66,122,159,163,184,204],"linguistic":[57,101,147,174],"patterns":[58,62],"distinctive":[60],"thought":[61],"as":[63,78,105,107],"manifested":[64],"in":[65],"textual":[67],"works":[68],"character.Using":[71],"Lu":[72,125],"Xun,":[73],"renowned":[75],"Chinese":[76],"writer":[77],"case":[80],"study,":[81],"propose":[83],"four":[84],"training":[85],"tasks":[86,172],"derived":[87],"from":[88],"his":[89],"17":[90],"essay":[91],"collections.These":[92],"include":[93],"pre-training":[95],"task":[96],"focused":[97],"mastering":[99],"external":[100],"structures":[102],"knowledge,":[104],"well":[106],"three":[108,171],"fine-tuning":[109],"tasks:":[110],"multiplechoice":[111],"question":[112,115],"answering,":[113,116],"generative":[114],"style":[118,148,161],"transfer,":[119],"each":[120],"aligning":[121],"LLM":[123],"with":[124,151],"Xun's":[126],"internal":[127],"ideation":[128],"writing":[130],"style.To":[131],"optimize":[132],"across":[134],"these":[135],"tasks,":[136],"CharLoRA":[140],"parameter":[141],"updating":[142],"mechanism,":[143],"where":[144],"general":[146],"expert":[149],"collaborates":[150],"other":[152],"taskspecific":[153],"experts":[154],"better":[156],"study":[157],"understanding":[164],"thoughts.We":[167],"evaluate":[168],"CharacterBot":[169],"for":[173],"accuracy":[175],"opinion":[177],"comprehension,":[178],"demonstrating":[179],"that":[180],"it":[181],"significantly":[182],"outperforms":[183],"baselines":[185],"our":[187],"adapted":[188],"metrics.We":[189],"hope":[190],"work":[192],"inspires":[193],"future":[194],"research":[195],"deep":[197],"character":[198],"LLMs":[201],"while":[202],"considering":[203],"importance":[205],"ethical":[207],"standards:":[208],"CharacterBot.":[209]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
