{"id":"https://openalex.org/W7163007973","doi":"https://doi.org/10.48550/arxiv.2605.31513","title":"Personalize Your Large Vision-language Models With In-context Prompt Tuning","display_name":"Personalize Your Large Vision-language Models With In-context Prompt Tuning","publication_year":2026,"publication_date":"2026-05-29","ids":{"openalex":"https://openalex.org/W7163007973","doi":"https://doi.org/10.48550/arxiv.2605.31513"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.31513","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.31513","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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.2605.31513","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5137532424","display_name":"Yanshu Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Yanshu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137601214","display_name":"Jiaqian Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Jiaqian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034790582","display_name":"Kuai Yu","orcid":"https://orcid.org/0009-0001-3596-7399"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yu, Kuai","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137533928","display_name":"Xi Xiao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiao, Xi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137566307","display_name":"Dongfang Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Dongfang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137610710","display_name":"Tianyang Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Tianyang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5137600639","display_name":"Ruixiang Tang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tang, Ruixiang","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":0.9524000287055969,"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":0.9524000287055969,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.004100000020116568,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/personalization","display_name":"Personalization","score":0.6098999977111816},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.5630999803543091},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.5547000169754028},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5475000143051147},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.4553000032901764},{"id":"https://openalex.org/keywords/decoupling","display_name":"Decoupling (probability)","score":0.400299996137619},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.30809998512268066}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7767999768257141},{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.6098999977111816},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.5630999803543091},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.5547000169754028},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5475000143051147},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4641999900341034},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.4553000032901764},{"id":"https://openalex.org/C205606062","wikidata":"https://www.wikidata.org/wiki/Q5249645","display_name":"Decoupling (probability)","level":2,"score":0.400299996137619},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3384000062942505},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.30809998512268066},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.3059999942779541},{"id":"https://openalex.org/C139002025","wikidata":"https://www.wikidata.org/wiki/Q3001212","display_name":"Lift (data mining)","level":2,"score":0.2685999870300293},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.26339998841285706},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.2554999887943268},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.2547000050544739},{"id":"https://openalex.org/C66024118","wikidata":"https://www.wikidata.org/wiki/Q1122506","display_name":"Computational model","level":2,"score":0.25369998812675476},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.25110000371932983},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.250900000333786},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.25040000677108765}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.31513","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.31513","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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.2605.31513","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.31513","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":[],"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],"vision-language":[1],"models":[2,30],"(LVLMs)":[3],"have":[4],"demonstrated":[5],"strong":[6],"general":[7],"multimodal":[8,37],"capability":[9],"and":[10,33,140,166,185],"are":[11],"increasingly":[12],"deployed":[13],"in":[14,23,60,92,144],"downstream":[15],"systems.":[16,73],"This":[17],"trend":[18],"has":[19],"driven":[20],"growing":[21],"interest":[22],"LVLM":[24,186],"personalization,":[25],"which":[26,51],"aims":[27],"to":[28,31,39,57,95,135,169],"enable":[29],"quickly":[32],"effectively":[34],"learn":[35],"out-of-distribution":[36],"concepts":[38,168],"meet":[40],"user-specific":[41],"needs.":[42],"However,":[43],"many":[44],"existing":[45],"methods":[46],"rely":[47],"on":[48,126],"inference-time":[49],"training,":[50],"reduces":[52],"efficiency.":[53],"They":[54],"also":[55],"struggle":[56],"maintain":[58],"accuracy":[59,181],"complex":[61,93],"multi-image,":[62],"multi-concept":[63],"settings.":[64],"These":[65,153],"limitations":[66],"restrict":[67],"the":[68,122,127,137],"broader":[69],"deployment":[70],"of":[71,90,131],"LVLM-based":[72],"Therefore,":[74],"this":[75,118],"paper":[76],"proposes":[77],"in-context":[78],"prompt":[79,123,156],"tuning":[80],"(ICPT).":[81],"Specifically,":[82],"ICPT":[83,177],"employs":[84],"a":[85],"lightweight":[86],"projection":[87],"module":[88,119],"capable":[89],"operating":[91],"scenarios":[94],"extract":[96],"fine-grained":[97],"visual":[98,129],"semantics":[99],"from":[100,162],"multiple":[101],"reference":[102],"images,":[103],"seamlessly":[104],"transforming":[105],"these":[106],"features":[107],"alongside":[108],"identity-label":[109],"mappings":[110],"into":[111],"continuous":[112],"prompts.":[113],"To":[114],"maximize":[115],"computational":[116],"efficiency,":[117],"adaptively":[120],"determines":[121],"length":[124],"based":[125],"intrinsic":[128],"complexity":[130],"each":[132],"concept.":[133],"Crucially,":[134],"overcome":[136],"environmental":[138,164],"biases":[139],"cross-concept":[141],"interference":[142],"prevalent":[143],"real-world":[145],"applications,":[146],"we":[147],"introduce":[148],"two":[149],"novel":[150],"geometric":[151],"regularizations.":[152],"constraints":[154],"refine":[155],"representations":[157],"by":[158],"decoupling":[159],"key":[160],"identities":[161],"transient":[163],"states":[165],"separating":[167],"avoid":[170],"semantic":[171],"confusion.":[172],"Extensive":[173],"experiments":[174],"show":[175],"that":[176],"achieves":[178],"state-of-the-art":[179],"personalization":[180],"across":[182],"diverse":[183],"tasks":[184],"backbones.":[187]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-06-02T00:00:00"}