{"id":"https://openalex.org/W7155189943","doi":"https://doi.org/10.48550/arxiv.2604.19405","title":"Lost in Translation: Do LVLM Judges Generalize Across Languages?","display_name":"Lost in Translation: Do LVLM Judges Generalize Across Languages?","publication_year":2026,"publication_date":"2026-04-21","ids":{"openalex":"https://openalex.org/W7155189943","doi":"https://doi.org/10.48550/arxiv.2604.19405"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.19405","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.19405","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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.2604.19405","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5134284492","display_name":"Md Tahmid Rahman Laskar","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Laskar, Md Tahmid Rahman","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134355776","display_name":"Mohammed Saidul Islam","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Islam, Mohammed Saidul","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068544743","display_name":"Mir Tafseer Nayeem","orcid":"https://orcid.org/0000-0002-4715-6059"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nayeem, Mir Tafseer","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109110793","display_name":"Amran Bhuiyan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bhuiyan, Amran","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134229226","display_name":"Mizanur Rahman","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rahman, Mizanur","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134269428","display_name":"Shafiq Joty","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Joty, Shafiq","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134353747","display_name":"Enamul Hoque","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hoque, Enamul","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5134361911","display_name":"Jimmy Huang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huang, Jimmy","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":0.9294999837875366,"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":0.9294999837875366,"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":0.019899999722838402,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.005900000222027302,"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/pairwise-comparison","display_name":"Pairwise comparison","score":0.7968999743461609},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.6643999814987183},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6331999897956848},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6233000159263611},{"id":"https://openalex.org/keywords/disjoint-sets","display_name":"Disjoint sets","score":0.6223000288009644},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4878999888896942},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.47119998931884766}],"concepts":[{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.7968999743461609},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.6643999814987183},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6331999897956848},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6233000159263611},{"id":"https://openalex.org/C45340560","wikidata":"https://www.wikidata.org/wiki/Q215382","display_name":"Disjoint sets","level":2,"score":0.6223000288009644},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5889000296592712},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.557200014591217},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5023999810218811},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4878999888896942},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.47119998931884766},{"id":"https://openalex.org/C2777868144","wikidata":"https://www.wikidata.org/wiki/Q7239817","display_name":"Preference elicitation","level":3,"score":0.34630000591278076},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.33059999346733093},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.2953999936580658},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.29109999537467957},{"id":"https://openalex.org/C181204326","wikidata":"https://www.wikidata.org/wiki/Q7239820","display_name":"Preference learning","level":3,"score":0.28360000252723694},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.2825999855995178},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.2777999937534332},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.26420000195503235},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.2578999996185303}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.19405","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.19405","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.19405","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.19405","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"score":0.7103887796401978,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Automatic":[0],"evaluators":[1,25,41],"such":[2],"as":[3],"reward":[4,101,180],"models":[5,18,102],"play":[6],"a":[7,80,89,112],"central":[8],"role":[9],"in":[10,142],"the":[11,35,52,184],"alignment":[12],"and":[13,58,88,153,161,182],"evaluation":[14,84,122],"of":[15,37,100,158,178,186],"large":[16],"vision-language":[17,82],"(LVLMs).":[19],"Despite":[20],"their":[21],"growing":[22],"importance,":[23],"these":[24,40,173],"are":[26,155],"almost":[27],"exclusively":[28],"assessed":[29],"on":[30],"English-centric":[31],"benchmarks,":[32],"leaving":[33],"open":[34],"question":[36],"how":[38],"well":[39],"generalize":[42],"across":[43,106,170],"languages.":[44,74,171],"To":[45],"answer":[46],"this":[47],"question,":[48],"we":[49,136],"introduce":[50],"MM-JudgeBench,":[51],"first":[53],"large-scale":[54],"benchmark":[55],"for":[56,190],"multilingual":[57,113,159],"multimodal":[59,188],"judge":[60],"model":[61,151],"evaluation,":[62],"which":[63],"includes":[64],"over":[65],"60K":[66],"pairwise":[67],"preference":[68,83],"instances":[69],"spanning":[70],"25":[71],"typologically":[72],"diverse":[73,107],"MM-JudgeBench":[75],"integrates":[76],"two":[77],"complementary":[78],"subsets:":[79],"general":[81],"subset":[85,93],"extending":[86],"VL-RewardBench,":[87],"chart-centric":[90],"visual-text":[91],"reasoning":[92],"derived":[94,116],"from":[95,117,120],"OpenCQA,":[96],"enabling":[97],"systematic":[98],"analysis":[99,147],"(i.e.,":[103],"LVLM":[104,165],"judges)":[105],"settings.":[108],"We":[109],"additionally":[110],"release":[111],"training":[114],"set":[115],"MM-RewardBench,":[118],"disjoint":[119],"our":[121,143],"data,":[123],"to":[124],"support":[125],"domain":[126],"adaptation.":[127],"By":[128],"evaluating":[129],"22":[130],"LVLMs":[131],"(15":[132],"open-source,":[133],"7":[134],"proprietary),":[135],"uncover":[137],"substantial":[138],"cross-lingual":[139],"performance":[140],"variance":[141],"proposed":[144],"benchmark.":[145],"Our":[146],"further":[148],"shows":[149],"that":[150,162],"size":[152],"architecture":[154],"poor":[156],"predictors":[157],"robustness,":[160],"even":[163],"state-of-the-art":[164],"judges":[166],"exhibit":[167],"inconsistent":[168],"behavior":[169],"Together,":[172],"findings":[174],"expose":[175],"fundamental":[176],"limitations":[177],"current":[179],"modeling":[181],"underscore":[183],"necessity":[185],"multilingual,":[187],"benchmarks":[189],"developing":[191],"reliable":[192],"automated":[193],"evaluators.":[194]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-04-23T00:00:00"}