A multilingual, multi-page document retrieval benchmark with 35K+ QA pairs shows MLLM retrievers lead but still fail on tables and low-resource languages.
Scene text visual question answering
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VisR-Bench: An Empirical Study on Visual Retrieval-Augmented Generation for Multilingual Long Document Understanding
A multilingual, multi-page document retrieval benchmark with 35K+ QA pairs shows MLLM retrievers lead but still fail on tables and low-resource languages.