AI RESEARCH
VISTA-Bench: Do Vision-Language Models Really Understand Visualized Text as Well as Pure Text?
arXiv CS.CV
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ArXi:2602.04802v2 Announce Type: replace Vision-Language Models (VLMs) have achieved impressive performance in cross-modal understanding across textual and visual inputs, yet existing benchmarks predominantly focus on pure-text queries. In real-world scenarios, language also frequently appears as visualized text embedded in images, raising the question of whether current VLMs handle such input requests comparably. We