Benchmark Radar
AI BENCHMARK PROFILE

MTVQA

General AIMultimodal Perception

MTVQA (Multilingual Text-Centric Visual Question Answering) is the first benchmark featuring high-quality human expert annotations across 9 diverse languages, consisting of 6,778 question-answer pairs across 2,116 images. It addresses visual-textual misalignment problems in multilingual text-centric VQA.

Released
Unknown
Readiness
Paper only
Primary field
General AI

Primary resources

Benchmark Radar records only publicly supported details and links back to primary sources for verification.