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WikiVQABench is a human-curated benchmark for knowledge-grounded visual question answering. IBM Research constructed it by systematically combining Wikipedia images, article captions, and structured knowledge from Wikidata. Candidate multiple-choice questions were generated by large language models and then reviewed by human annotators for factual correctness and visual-text consistency.
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