{"id":"https://openalex.org/W4414581402","doi":"https://doi.org/10.48550/arxiv.2505.18541","title":"RoleRAG: Enhancing LLM Role-Playing via Graph Guided Retrieval","display_name":"RoleRAG: Enhancing LLM Role-Playing via Graph Guided Retrieval","publication_year":2025,"publication_date":"2025-05-24","ids":{"openalex":"https://openalex.org/W4414581402","doi":"https://doi.org/10.48550/arxiv.2505.18541"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2505.18541","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2505.18541","pdf_url":"https://arxiv.org/pdf/2505.18541","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2505.18541","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100443465","display_name":"Yongjie Wang","orcid":"https://orcid.org/0000-0003-4718-0742"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Wang, Yongjie","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073734580","display_name":"Jonathan G. Leung","orcid":"https://orcid.org/0000-0003-3836-9375"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Leung, Jonathan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5057170852","display_name":"Zhiqi Shen","orcid":"https://orcid.org/0000-0003-4495-9697"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shen, Zhiqi","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100443465"],"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/T10028","display_name":"Topic Modeling","score":0.9958000183105469,"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/T10028","display_name":"Topic Modeling","score":0.9958000183105469,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9937999844551086,"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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9804999828338623,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.6189000010490417},{"id":"https://openalex.org/keywords/recall","display_name":"Recall","score":0.5787000060081482},{"id":"https://openalex.org/keywords/hallucinating","display_name":"Hallucinating","score":0.5655999779701233},{"id":"https://openalex.org/keywords/knowledge-representation-and-reasoning","display_name":"Knowledge representation and reasoning","score":0.43849998712539673},{"id":"https://openalex.org/keywords/character","display_name":"Character (mathematics)","score":0.4334000051021576},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.40790000557899475},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.4002000093460083}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7892000079154968},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.6189000010490417},{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.5787000060081482},{"id":"https://openalex.org/C2911011789","wikidata":"https://www.wikidata.org/wiki/Q130741","display_name":"Hallucinating","level":2,"score":0.5655999779701233},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.49619999527931213},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48969998955726624},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.45089998841285706},{"id":"https://openalex.org/C161301231","wikidata":"https://www.wikidata.org/wiki/Q3478658","display_name":"Knowledge representation and reasoning","level":2,"score":0.43849998712539673},{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.4334000051021576},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.40790000557899475},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.4002000093460083},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.39739999175071716},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.3528999984264374},{"id":"https://openalex.org/C17305859","wikidata":"https://www.wikidata.org/wiki/Q382944","display_name":"Soar","level":2,"score":0.3422999978065491},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.31690001487731934},{"id":"https://openalex.org/C96711827","wikidata":"https://www.wikidata.org/wiki/Q17012245","display_name":"Entity linking","level":3,"score":0.30649998784065247},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.3003000020980835},{"id":"https://openalex.org/C115925183","wikidata":"https://www.wikidata.org/wiki/Q1412694","display_name":"Knowledge-based systems","level":2,"score":0.27489998936653137},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2687000036239624},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.25119999051094055}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2505.18541","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2505.18541","pdf_url":"https://arxiv.org/pdf/2505.18541","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2505.18541","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2505.18541","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":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2505.18541","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2505.18541","pdf_url":"https://arxiv.org/pdf/2505.18541","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Large":[0],"Language":[1],"Models":[2],"(LLMs)":[3],"have":[4],"shown":[5],"promise":[6],"in":[7],"character":[8,107],"imitation,":[9],"enabling":[10],"immersive":[11],"and":[12,46,101,109],"engaging":[13],"conversations.":[14],"However,":[15],"they":[16],"often":[17],"generate":[18],"content":[19],"that":[20,67,94],"is":[21],"irrelevant":[22],"or":[23],"inconsistent":[24],"with":[25,75,106],"a":[26,48,64,76,85],"character's":[27,54],"background.":[28],"We":[29],"attribute":[30],"these":[31,59],"failures":[32],"to:":[33],"(1)":[34],"the":[35,53],"inability":[36],"to":[37,43],"accurately":[38],"recall":[39],"character-specific":[40],"knowledge":[41,73,87,108],"due":[42],"entity":[44,70],"ambiguity,":[45],"(2)":[47],"lack":[49],"of":[50,52],"awareness":[51],"cognitive":[55],"boundaries.":[56],"To":[57],"address":[58],"issues,":[60],"we":[61],"propose":[62],"RoleRAG,":[63],"retrieval-based":[65],"framework":[66],"integrates":[68],"efficient":[69],"disambiguation":[71],"for":[72,79],"indexing":[74],"boundary-aware":[77],"retriever":[78],"extracting":[80],"contextually":[81],"appropriate":[82],"information":[83],"from":[84],"structured":[86],"graph.":[88],"Experiments":[89],"on":[90],"role-playing":[91],"benchmarks":[92],"show":[93],"RoleRAG's":[95],"calibrated":[96],"retrieval":[97],"helps":[98],"both":[99],"general-purpose":[100],"role-specific":[102],"LLMs":[103],"better":[104],"align":[105],"reduce":[110],"hallucinated":[111],"responses.":[112]},"counts_by_year":[],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}
