{"id":"https://openalex.org/W7155044251","doi":"https://doi.org/10.48550/arxiv.2604.18347","title":"Multilingual Training and Evaluation Resources for Vision-Language Models","display_name":"Multilingual Training and Evaluation Resources for Vision-Language Models","publication_year":2026,"publication_date":"2026-04-20","ids":{"openalex":"https://openalex.org/W7155044251","doi":"https://doi.org/10.48550/arxiv.2604.18347"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.18347","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.18347","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.2604.18347","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5032024459","display_name":"Daniela Baiamonte","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Baiamonte, Daniela","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008736007","display_name":"Elena Fano","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fano, Elena","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046012186","display_name":"Matteo Gabburo","orcid":"https://orcid.org/0000-0001-6214-3689"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gabburo, Matteo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134129348","display_name":"Stefano Simonazzi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Simonazzi, Stefano","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018861444","display_name":"Leonardo Rigutini","orcid":"https://orcid.org/0000-0002-6309-2542"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rigutini, Leonardo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5052833772","display_name":"Andrea Zugarini","orcid":"https://orcid.org/0000-0003-0344-1656"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zugarini, Andrea","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":0.8615000247955322,"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":0.8615000247955322,"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":0.014299999922513962,"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":0.010900000110268593,"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/suite","display_name":"Suite","score":0.6295999884605408},{"id":"https://openalex.org/keywords/scarcity","display_name":"Scarcity","score":0.6150000095367432},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5174999833106995},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.504800021648407},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.446399986743927},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.4334999918937683},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.4104999899864197}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7720999717712402},{"id":"https://openalex.org/C79581498","wikidata":"https://www.wikidata.org/wiki/Q1367530","display_name":"Suite","level":2,"score":0.6295999884605408},{"id":"https://openalex.org/C109747225","wikidata":"https://www.wikidata.org/wiki/Q815758","display_name":"Scarcity","level":2,"score":0.6150000095367432},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5174999833106995},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.504800021648407},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44929999113082886},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.446399986743927},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.4334999918937683},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.43130001425743103},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.4104999899864197},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.39309999346733093},{"id":"https://openalex.org/C155092808","wikidata":"https://www.wikidata.org/wiki/Q182557","display_name":"Computational linguistics","level":2,"score":0.3246000111103058},{"id":"https://openalex.org/C2780035574","wikidata":"https://www.wikidata.org/wiki/Q30081","display_name":"Multilingualism","level":2,"score":0.31529998779296875},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.31459999084472656},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.2799000144004822},{"id":"https://openalex.org/C2775989810","wikidata":"https://www.wikidata.org/wiki/Q7832978","display_name":"Training manual","level":2,"score":0.2773999869823456},{"id":"https://openalex.org/C184356942","wikidata":"https://www.wikidata.org/wiki/Q830382","display_name":"Best practice","level":2,"score":0.2734000086784363},{"id":"https://openalex.org/C2777938197","wikidata":"https://www.wikidata.org/wiki/Q7834022","display_name":"Transfer of training","level":2,"score":0.2567000091075897},{"id":"https://openalex.org/C107645774","wikidata":"https://www.wikidata.org/wiki/Q5467169","display_name":"Human resources","level":2,"score":0.25519999861717224},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.2538999915122986},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.25279998779296875}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.18347","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.18347","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.2604.18347","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.18347","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":[{"score":0.5286213755607605,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Vision":[0],"Language":[1],"Models":[2],"(VLMs)":[3],"achieved":[4],"rapid":[5],"progress":[6],"in":[7,172],"the":[8,28,39,118,141,162],"recent":[9],"years.":[10],"However,":[11],"despite":[12],"their":[13],"growth,":[14],"VLMs":[15,63,173,188],"development":[16],"is":[17,190],"heavily":[18],"grounded":[19],"on":[20,193],"English,":[21],"leading":[22],"to":[23,160,169,199],"two":[24],"main":[25],"limitations:":[26],"(i)":[27],"lack":[29],"of":[30,41,60,125,143,164],"multilingual":[31,126,165],"and":[32,37,65,75,92,115,148],"multimodal":[33,184],"datasets":[34,108,133],"for":[35,62,186],"training,":[36],"(ii)":[38],"scarcity":[40],"comprehensive":[42,58],"evaluation":[43,66,119],"benchmarks":[44,127],"across":[45],"languages.":[46],"In":[47],"this":[48],"work,":[49],"we":[50,96,121,156],"address":[51],"these":[52,144],"gaps":[53],"by":[54,87],"introducing":[55],"a":[56,79,99,123],"new":[57],"suite":[59],"resources":[61,86,145],"training":[64,100,187],"spanning":[67],"five":[68],"European":[69],"languages":[70],"(English,":[71],"French,":[72],"German,":[73],"Italian,":[74],"Spanish).":[76],"We":[77,139],"adopt":[78],"regeneration-translation":[80],"paradigm":[81],"that":[82,181],"produces":[83],"high-quality":[84],"cross-lingual":[85],"combining":[88],"curated":[89],"synthetic":[90],"generation":[91],"manual":[93],"annotation.":[94],"Specifically,":[95],"build":[97],"Multi-PixMo,":[98],"corpus":[101],"obtained":[102],"regenerating":[103],"examples":[104,185],"from":[105],"Pixmo":[106],"pre-existing":[107],"with":[109,167,196],"permissively":[110],"licensed":[111],"models:":[112],"PixMo-Cap,":[113],"PixMo-AskModelAnything,":[114],"CoSyn-400k.":[116],"On":[117],"side,":[120],"construct":[122],"set":[124],"derived":[128],"translating":[129],"widely":[130],"used":[131],"English":[132,170,200],"(MMbench,":[134],"ScienceQA,":[135],"MME,":[136],"POPE,":[137],"AI2D).":[138],"assess":[140],"quality":[142],"through":[146],"qualitative":[147],"quantitative":[149],"human":[150],"analyses,":[151],"measuring":[152],"inter-annotator":[153],"agreement.":[154],"Additionally,":[155],"perform":[157],"ablation":[158],"studies":[159],"demonstrate":[161],"impact":[163],"data,":[166],"respect":[168],"only,":[171],"training.":[174],"Experiments,":[175],"comprising":[176],"3":[177],"different":[178],"models":[179],"show":[180],"using":[182],"multilingual,":[183],"aids":[189],"consistently":[191],"beneficial":[192],"non-English":[194],"benchmarks,":[195],"positive":[197],"transfer":[198],"as":[201],"well.":[202]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-04-22T00:00:00"}