{"id":"https://openalex.org/W7164491568","doi":"https://doi.org/10.48550/arxiv.2606.13288","title":"Cross-Modal Masked Compositional Concept Modeling for Enhancing Visio-Linguistic Compositionality","display_name":"Cross-Modal Masked Compositional Concept Modeling for Enhancing Visio-Linguistic Compositionality","publication_year":2026,"publication_date":"2026-06-11","ids":{"openalex":"https://openalex.org/W7164491568","doi":"https://doi.org/10.48550/arxiv.2606.13288"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.13288","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.13288","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.2606.13288","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5138503306","display_name":"Wei Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Wei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011086655","display_name":"Z Zhangqin Huang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huang, Zhen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5138490103","display_name":"Xinmei Tian","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tian, Xinmei","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":0.9370999932289124,"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":0.9370999932289124,"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":0.016100000590085983,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.013899999670684338,"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/principle-of-compositionality","display_name":"Principle of compositionality","score":0.9794999957084656},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4948999881744385},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.46810001134872437},{"id":"https://openalex.org/keywords/compositional-data","display_name":"Compositional data","score":0.41749998927116394},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.3788999915122986},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.37220001220703125},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.3431999981403351},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.3154999911785126}],"concepts":[{"id":"https://openalex.org/C121375916","wikidata":"https://www.wikidata.org/wiki/Q936559","display_name":"Principle of compositionality","level":2,"score":0.9794999957084656},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7971000075340271},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6535999774932861},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5618000030517578},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4948999881744385},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.46810001134872437},{"id":"https://openalex.org/C2781147490","wikidata":"https://www.wikidata.org/wiki/Q5156808","display_name":"Compositional data","level":2,"score":0.41749998927116394},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.3788999915122986},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.37220001220703125},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.3431999981403351},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.3154999911785126},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.3005000054836273},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.2987000048160553},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.2957000136375427},{"id":"https://openalex.org/C2779954242","wikidata":"https://www.wikidata.org/wiki/Q6031227","display_name":"Information structure","level":2,"score":0.29409998655319214},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.2930000126361847},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.28859999775886536},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.2777000069618225},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.2768000066280365},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.26910001039505005},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.250900000333786}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.13288","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.13288","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.2606.13288","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.13288","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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Contrastively":[0],"trained":[1],"vision-language":[2],"models":[3],"like":[4],"CLIP,":[5],"have":[6],"made":[7],"remarkable":[8],"progress":[9],"in":[10,19,68,89,155],"learning":[11],"joint":[12],"image-text":[13],"representations,":[14],"but":[15,53,157],"still":[16],"face":[17],"challenges":[18],"compositional":[20,64,87,112,140],"understanding.":[21],"They":[22],"often":[23],"exhibit":[24],"a":[25,83],"\"bag-of-words\"":[26],"behavior--struggling":[27],"to":[28,107,162],"capture":[29,108,163],"the":[30,45,56,62,97,102,105,170],"object":[31],"relations,":[32],"attribute-object":[33],"bindings,":[34],"and":[35,59,92,109,128,134,166,177],"word":[36],"order":[37],"dependencies.":[38],"This":[39],"limitation":[40],"arises":[41],"not":[42,150],"only":[43,151],"from":[44,55,101],"reliance":[46],"on":[47,96,138],"global,":[48],"single-vector":[49],"representations":[50],"for":[51],"optimization,":[52],"also":[54,158,173],"insufficient":[57],"exploitation":[58],"modeling":[60],"of":[61],"rich":[63],"information":[65,100],"inherently":[66],"present":[67],"paired":[69],"image":[70],"text":[71],"data.":[72],"In":[73],"this":[74,118],"work,":[75],"we":[76,120],"propose":[77],"MACCO":[78],"(MAsked":[79],"Compositional":[80],"Concept":[81],"MOdeling),":[82],"framework":[84],"that":[85,125,147],"masks":[86],"concepts":[88],"one":[90],"modality":[91],"reconstructs":[93],"them":[94],"conditioned":[95],"full":[98],"contextual":[99],"other,":[103],"enabling":[104],"model":[106],"align":[110,127],"cross-modal":[111],"structures":[113],"more":[114],"effectively.":[115],"To":[116],"facilitate":[117],"process,":[119],"introduce":[121],"two":[122],"auxiliary":[123],"objectives":[124],"jointly":[126],"regularize":[129],"masked":[130],"features":[131],"both":[132],"inter-modally":[133],"intra-modally.":[135],"Extensive":[136],"experiments":[137],"five":[139],"benchmarks,":[141],"along":[142],"with":[143],"in-depth":[144],"analyses,":[145],"demonstrate":[146],"our":[148],"approach":[149],"significantly":[152],"enhances":[153],"compositionality":[154,172],"VLMs":[156],"improves":[159],"their":[160],"ability":[161],"syntactic":[164],"structure":[165],"linguistic":[167],"information.":[168],"Additionally,":[169],"improved":[171],"benefits":[174],"text-to-image":[175],"generation":[176],"multimodal":[178],"large":[179],"language":[180],"model.":[181],"Code":[182],"is":[183],"available":[184],"at":[185],"https://github.com/hiker-lw/MACCO.":[186]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-06-13T00:00:00"}
