{"id":"https://openalex.org/W7165389922","doi":"https://doi.org/10.48550/arxiv.2606.19351","title":"Detecting Hallucinations for Large Language Model-based Knowledge Graph Reasoning","display_name":"Detecting Hallucinations for Large Language Model-based Knowledge Graph Reasoning","publication_year":2026,"publication_date":"2026-04-27","ids":{"openalex":"https://openalex.org/W7165389922","doi":"https://doi.org/10.48550/arxiv.2606.19351"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.19351","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.19351","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.2606.19351","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5125931075","display_name":"Xinyan Zhu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhu, Xinyan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027437026","display_name":"Yaoqi Liu","orcid":"https://orcid.org/0009-0003-5841-9517"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Yaoqi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138973809","display_name":"Yue Gao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gao, Yue","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138991749","display_name":"Huadong Ma","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ma, Huadong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139009497","display_name":"Cheng Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Cheng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5138963944","display_name":"Chuan Shi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shi, Chuan","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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9343000054359436,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9343000054359436,"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":0.019999999552965164,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.01080000028014183,"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/graph","display_name":"Graph","score":0.5353000164031982},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.4846999943256378},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.45820000767707825},{"id":"https://openalex.org/keywords/commonsense-reasoning","display_name":"Commonsense reasoning","score":0.4357999861240387},{"id":"https://openalex.org/keywords/misinformation","display_name":"Misinformation","score":0.43070000410079956},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.41359999775886536},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.3880999982357025},{"id":"https://openalex.org/keywords/semantic-memory","display_name":"Semantic memory","score":0.37950000166893005}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.732699990272522},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5683000087738037},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5353000164031982},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.4846999943256378},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.45890000462532043},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.45820000767707825},{"id":"https://openalex.org/C193221554","wikidata":"https://www.wikidata.org/wiki/Q5153664","display_name":"Commonsense reasoning","level":2,"score":0.4357999861240387},{"id":"https://openalex.org/C2776990098","wikidata":"https://www.wikidata.org/wiki/Q13579947","display_name":"Misinformation","level":2,"score":0.43070000410079956},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42340001463890076},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.41359999775886536},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.3880999982357025},{"id":"https://openalex.org/C197914299","wikidata":"https://www.wikidata.org/wiki/Q18650","display_name":"Semantic memory","level":3,"score":0.37950000166893005},{"id":"https://openalex.org/C161301231","wikidata":"https://www.wikidata.org/wiki/Q3478658","display_name":"Knowledge representation and reasoning","level":2,"score":0.36970001459121704},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.3490999937057495},{"id":"https://openalex.org/C2911011789","wikidata":"https://www.wikidata.org/wiki/Q130741","display_name":"Hallucinating","level":2,"score":0.3319999873638153},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.3224000036716461},{"id":"https://openalex.org/C115086926","wikidata":"https://www.wikidata.org/wiki/Q17004651","display_name":"Causal reasoning","level":3,"score":0.3070000112056732},{"id":"https://openalex.org/C37335422","wikidata":"https://www.wikidata.org/wiki/Q6888134","display_name":"Model-based reasoning","level":3,"score":0.2802000045776367},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.2736000120639801},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.27000001072883606},{"id":"https://openalex.org/C115925183","wikidata":"https://www.wikidata.org/wiki/Q1412694","display_name":"Knowledge-based systems","level":2,"score":0.2637999951839447},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.2533000111579895}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.19351","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.19351","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.2606.19351","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.19351","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":[{"display_name":"Peace, Justice and strong institutions","score":0.692449688911438,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Knowledge":[0],"graph":[1,113,148],"(KG)":[2],"reasoning":[3,32,114],"infers":[4],"new":[5],"knowledge":[6,55],"from":[7,134],"existing":[8],"facts":[9],"and":[10,18,67,124,131,137,140],"is":[11,56],"widely":[12],"applied":[13],"in":[14,45,92,95],"question":[15],"answering,":[16],"recommendation,":[17],"decision":[19],"support.":[20],"With":[21],"the":[22,89,105,170],"rapid":[23],"development":[24],"of":[25,169],"large":[26],"language":[27],"models":[28,58],"(LLMs),":[29],"LLM-based":[30,111],"KG":[31,41,54,122,144],"frameworks":[33],"have":[34],"become":[35],"increasingly":[36],"popular":[37],"by":[38],"leveraging":[39],"retrieved":[40,84],"information.":[42,126],"However,":[43],"hallucinations":[44],"LLMs":[46],"remain":[47],"a":[48,147],"critical":[49],"issue.":[50],"Even":[51],"when":[52],"relevant":[53],"incorporated,":[57],"may":[59],"still":[60],"generate":[61],"incorrect":[62],"outputs,":[63],"leading":[64],"to":[65,174],"misinformation":[66],"unreliable":[68],"decisions.":[69],"Existing":[70],"hallucination":[71],"detection":[72],"methods":[73],"either":[74],"focus":[75],"on":[76,161],"LLM":[77,119],"internal":[78],"states":[79],"or":[80],"verify":[81],"consistency":[82],"with":[83,143],"contexts,":[85],"but":[86],"both":[87],"overlook":[88],"structural":[90,125],"information":[91],"KGs,":[93],"resulting":[94],"suboptimal":[96],"performance.":[97],"To":[98],"address":[99],"this":[100],"gap,":[101],"we":[102],"propose":[103],"LUCID,":[104],"first":[106],"halLUcination":[107],"deteCtIon":[108],"method":[109],"for":[110,158],"knowleDge":[112],"frameworks.":[115],"LUCID":[116,166],"jointly":[117],"leverages":[118],"attention":[120,135],"scores,":[121],"semantics,":[123],"Specifically,":[127],"it":[128],"extracts":[129],"node":[130],"edge":[132],"features":[133],"scores":[136],"semantic":[138],"similarities,":[139],"integrates":[141],"them":[142],"structure":[145],"using":[146],"neural":[149],"network.":[150],"We":[151],"also":[152],"construct":[153],"manually":[154],"annotated":[155],"benchmark":[156],"datasets":[157,163],"evaluation.":[159],"Experiments":[160],"nine":[162],"show":[164],"that":[165],"achieves":[167],"state":[168],"art":[171],"performance":[172],"compared":[173],"15":[175],"baselines.":[176]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-06-20T00:00:00"}
