{"id":"https://openalex.org/W7160644767","doi":"https://doi.org/10.48550/arxiv.2605.06096","title":"Uncovering Entity Identity Confusion in Multimodal Knowledge Editing","display_name":"Uncovering Entity Identity Confusion in Multimodal Knowledge Editing","publication_year":2026,"publication_date":"2026-05-07","ids":{"openalex":"https://openalex.org/W7160644767","doi":"https://doi.org/10.48550/arxiv.2605.06096"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.06096","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.06096","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.2605.06096","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5135691277","display_name":"Shu Wu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wu, Shu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079656734","display_name":"Xiaotian Ye","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ye, Xiaotian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135651636","display_name":"Xinyu Mou","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mou, Xinyu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135703482","display_name":"Dongsheng Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Dongsheng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135677063","display_name":"Xiaohan Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Xiaohan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5135700259","display_name":"Mengqi Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Mengqi","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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.7368999719619751,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.7368999719619751,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.10580000281333923,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.04089999943971634,"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/identity","display_name":"Identity (music)","score":0.7486000061035156},{"id":"https://openalex.org/keywords/spurious-relationship","display_name":"Spurious relationship","score":0.7052000164985657},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.6660000085830688},{"id":"https://openalex.org/keywords/confusion","display_name":"Confusion","score":0.642799973487854},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.5659000277519226},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.49480000138282776},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.41659998893737793},{"id":"https://openalex.org/keywords/argument","display_name":"Argument (complex analysis)","score":0.40959998965263367}],"concepts":[{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.7486000061035156},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7075999975204468},{"id":"https://openalex.org/C97256817","wikidata":"https://www.wikidata.org/wiki/Q1462316","display_name":"Spurious relationship","level":2,"score":0.7052000164985657},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.6660000085830688},{"id":"https://openalex.org/C2781140086","wikidata":"https://www.wikidata.org/wiki/Q557945","display_name":"Confusion","level":2,"score":0.642799973487854},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.5659000277519226},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.49480000138282776},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4537999927997589},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4422999918460846},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.41659998893737793},{"id":"https://openalex.org/C98184364","wikidata":"https://www.wikidata.org/wiki/Q1780131","display_name":"Argument (complex analysis)","level":2,"score":0.40959998965263367},{"id":"https://openalex.org/C2780876879","wikidata":"https://www.wikidata.org/wiki/Q3054749","display_name":"Meaning (existential)","level":2,"score":0.33980000019073486},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.32829999923706055},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.32330000400543213},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.2953000068664551},{"id":"https://openalex.org/C90329073","wikidata":"https://www.wikidata.org/wiki/Q914232","display_name":"Ask price","level":2,"score":0.28139999508857727},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.27730000019073486},{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.27250000834465027},{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.26739999651908875},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.2651999890804291},{"id":"https://openalex.org/C155092808","wikidata":"https://www.wikidata.org/wiki/Q182557","display_name":"Computational linguistics","level":2,"score":0.2621999979019165},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.257999986410141},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.2533999979496002}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.06096","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.06096","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.2605.06096","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.06096","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":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.46874478459358215}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Multimodal":[0],"knowledge":[1,9,104],"editing":[2],"(MKE)":[3],"aims":[4],"to":[5,94,110,148,156],"correct":[6],"the":[7,17,52,60,106,117,123,127,149],"internal":[8],"of":[10,20],"large":[11],"vision-language":[12],"models":[13,22,43,109],"after":[14,82],"deployment,":[15],"yet":[16],"behavioral":[18],"patterns":[19],"post-edit":[21],"remain":[23],"underexplored.":[24],"In":[25],"this":[26],"paper,":[27],"we":[28,67,171],"identify":[29],"a":[30,70,115,134],"systemic":[31],"failure":[32],"mode":[33],"in":[34,105],"edited":[35,42],"models,":[36],"termed":[37],"Entity":[38],"Identity":[39],"Confusion":[40],"(EIC):":[41],"exhibit":[44],"an":[45],"absurd":[46],"behavior":[47],"where":[48],"text-only":[49],"queries":[50],"about":[51,59],"original":[53,124],"entity's":[54,129],"identity":[55,136],"unexpectedly":[56],"return":[57],"information":[58],"new":[61,128],"entity.":[62],"To":[63],"rigorously":[64],"investigate":[65],"EIC,":[66],"construct":[68],"EC-Bench,":[69],"diagnostic":[71],"benchmark":[72],"that":[73,87,145],"directly":[74],"probes":[75],"how":[76],"image-entity":[77],"bindings":[78],"shift":[79],"before":[80],"and":[81,100,178],"editing.":[83],"Our":[84],"analysis":[85],"reveals":[86],"EIC":[88],"stems":[89],"from":[90],"existing":[91],"methods":[92],"failing":[93],"distinguish":[95],"between":[96],"Image-Entity":[97],"(I-E)":[98],"binding":[99],"Entity-Entity":[101],"(E-E)":[102],"relational":[103],"model,":[107],"causing":[108],"overfit":[111],"E-E":[112],"associations":[113],"as":[114,122,133],"shortcut:":[116],"image":[118],"is":[119],"still":[120],"perceived":[121],"entity,":[125],"with":[126],"name":[130],"serving":[131],"only":[132],"spurious":[135],"label.":[137],"We":[138],"further":[139],"explore":[140],"potential":[141],"mitigation":[142],"strategies,":[143],"showing":[144],"constraining":[146],"edits":[147,155],"model's":[150],"I-E":[151,161],"processing":[152],"stage":[153],"encourages":[154],"act":[157],"more":[158],"faithfully":[159],"on":[160,168],"binding,":[162],"thereby":[163],"substantially":[164],"reducing":[165],"EIC.":[166],"Based":[167],"these":[169],"findings,":[170],"discuss":[172],"principled":[173],"desiderata":[174],"for":[175,182],"faithful":[176],"MKE":[177],"provide":[179],"methodological":[180],"guidance":[181],"future":[183],"research.":[184]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-09T00:00:00"}