AI RESEARCH

JaWildText: A Benchmark for Vision-Language Models on Japanese Scene Text Understanding

arXiv CS.AI

ArXi:2603.27942v1 Announce Type: cross Japanese scene text poses challenges that multilingual benchmarks often fail to capture, including mixed scripts, frequent vertical writing, and a character inventory far larger than the Latin alphabet. Although Japanese is included in several multilingual benchmarks, these resources do not adequately capture the language-specific complexities. Meanwhile, existing Japanese visual text datasets have primarily focused on scanned documents, leaving in-the-wild scene text underexplored. To fill this gap, we