{"id":"https://openalex.org/W7151959961","doi":"https://doi.org/10.48550/arxiv.2604.05818","title":"WikiSeeker: Rethinking the Role of Vision-Language Models in Knowledge-Based Visual Question Answering","display_name":"WikiSeeker: Rethinking the Role of Vision-Language Models in Knowledge-Based Visual Question Answering","publication_year":2026,"publication_date":"2026-04-07","ids":{"openalex":"https://openalex.org/W7151959961","doi":"https://doi.org/10.48550/arxiv.2604.05818"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.05818","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.05818","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":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.05818","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103720145","display_name":"Yingjian Zhu","orcid":"https://orcid.org/0009-0003-5538-0645"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhu, Yingjian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133223010","display_name":"Xinming Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Xinming","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133237478","display_name":"Kun Ding","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ding, Kun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133195051","display_name":"Ying Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Ying","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133200907","display_name":"Bin Fan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fan, Bin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5133149569","display_name":"Shiming Xiang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiang, Shiming","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"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":0.994700014591217,"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":0.994700014591217,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.002199999988079071,"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":0.0010000000474974513,"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/question-answering","display_name":"Question answering","score":0.7269999980926514},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.7211999893188477},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5587000250816345},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4366999864578247},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.29980000853538513},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.29490000009536743}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7422999739646912},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.7269999980926514},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7211999893188477},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5587000250816345},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5040000081062317},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4366999864578247},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4334000051021576},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.31139999628067017},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.29980000853538513},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.29490000009536743},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.28839999437332153},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.2874999940395355},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.2847999930381775},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.25839999318122864},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.25040000677108765}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.05818","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.05818","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":"doi:10.48550/arxiv.2604.05818","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.05818","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":"article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.5235207080841064,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Multi-modal":[0],"Retrieval-Augmented":[1],"Generation":[2],"(RAG)":[3],"has":[4],"emerged":[5],"as":[6,27,79],"a":[7,55,66,88,121],"highly":[8],"effective":[9],"paradigm":[10],"for":[11,134],"Knowledge-Based":[12],"Visual":[13],"Question":[14],"Answering":[15],"(KB-VQA).":[16],"Despite":[17],"recent":[18],"advancements,":[19],"prevailing":[20],"methods":[21],"still":[22],"primarily":[23],"depend":[24],"on":[25,139,150,176],"images":[26],"the":[28,36,71,96,102,107,112,115,140],"retrieval":[29,145,166],"key,":[30],"and":[31,69,90,153,168],"often":[32],"overlook":[33],"or":[34],"misplace":[35],"role":[37,72],"of":[38,73,98,114],"Vision-Language":[39],"Models":[40],"(VLMs),":[41],"thereby":[42],"failing":[43],"to":[44,100,106,131],"leverage":[45],"their":[46],"potential":[47],"fully.":[48],"In":[49],"this":[50],"paper,":[51],"we":[52,82],"introduce":[53],"WikiSeeker,":[54],"novel":[56],"multi-modal":[57,67],"RAG":[58],"framework":[59],"that":[60,156],"bridges":[61],"these":[62],"gaps":[63],"by":[64,125],"proposing":[65],"retriever":[68],"redefining":[70],"VLMs.":[74],"Rather":[75],"than":[76],"serving":[77],"merely":[78],"answer":[80,135,169],"generators,":[81],"assign":[83],"VLMs":[84,99],"two":[85],"specialized":[86],"agents:":[87],"Refiner":[89,94],"an":[91],"Inspector.":[92],"The":[93,118],"utilizes":[95],"capability":[97],"rewrite":[101],"textual":[103],"query":[104],"according":[105],"input":[108],"image,":[109],"significantly":[110],"improving":[111],"performance":[113],"multimodal":[116],"retriever.":[117],"Inspector":[119],"facilitates":[120],"decoupled":[122],"generation":[123],"strategy":[124],"selectively":[126],"routing":[127],"reliable":[128],"retrieved":[129],"context":[130],"another":[132],"LLM":[133],"generation,":[136],"while":[137],"relying":[138],"VLM's":[141],"internal":[142],"knowledge":[143],"when":[144],"is":[146],"unreliable.":[147],"Extensive":[148],"experiments":[149],"EVQA,":[151],"InfoSeek,":[152],"M2KR":[154],"demonstrate":[155],"WikiSeeker":[157],"achieves":[158],"state-of-the-art":[159],"performance,":[160],"with":[161],"substantial":[162],"improvements":[163],"in":[164],"both":[165],"accuracy":[167],"quality.":[170],"Our":[171],"code":[172],"will":[173],"be":[174],"released":[175],"https://github.com/zhuyjan/WikiSeeker.":[177]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-04-09T00:00:00"}
