CVQA: Culturally-diverse Multilingual Visual Question Answering Benchmark.
David RomeroChenyang LyuHaryo Akbarianto WibowoTeresa LynnInjy HamedAditya Nanda KishoreAishik MandalAlina DragonettiArtem AbzalievAtnafu Lambebo TonjaBontu Fufa BalchaChenxi WhitehouseChristian SalameaDan John VelascoDavid Ifeoluwa AdelaniDavid Le MeurEmilio Villa-CuevaFajri KotoFauzan FarooquiFrederico BelcavelloGanzorig BatnasanGisela VallejoGrainne CaulfieldGuido IvettaHaiyue SongHenok Biadglign AdemtewHernán MainaHoly LoveniaIsrael Abebe AzimeJan Christian Blaise CruzJay P. GalaJiahui GengJesús-Germán Ortiz-BarajasJinheon BaekJocelyn DunstanLaura Alonso AlemanyKumaranage Ravindu Yasas NagasingheLuciana BenottiLuis Fernando D'HaroMarcelo ViridianoMarcos Estecha-GaritagoitiaMaria Camila Buitrago CabreraMario Rodríguez-CantelarMélanie JouitteauMihail MihaylovMohamed Fazli Mohamed ImamMuhammad Farid AdilazuardaMunkhjargal GochooMunkh-Erdene OtgonboldNaome A. EtoriOlivier NiyomugishaPaula Mónica SilvaPranjal A. ChitaleRaj DabreRendi CheviRuochen ZhangRyandito DiandaruSamuel CahyawijayaSantiago GóngoraSoyeong JeongSukannya PurkayasthaTatsuki KuribayashiThanmay JayakumarTiago Timponi TorrentToqeer EhsanVladimir AraujoYova KementchedjhievaZara BurzoZheng Wei LimZheng Xin YongOana IgnatJoan NwatuRada MihalceaThamar SolorioAlham Fikri AjiPublished in: CoRR (2024)
Keyphrases
- question answering
- cross language
- information retrieval
- information extraction
- natural language questions
- natural language
- digital libraries
- open domain question answering
- question classification
- passage retrieval
- relation extraction
- natural language processing
- visual information
- named entities
- qa clef
- answering questions
- question answering systems
- syntactic information
- cross language information retrieval
- candidate answers
- low level
- artificial intelligence
- query translation
- information retrieval systems