A human-annotated benchmark with 4,800 QA pairs evaluates how well AI models can retrieve and generate interleaved text-and-image answers.
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MRAMG-Bench: A Comprehensive Benchmark for Advancing Multimodal Retrieval-Augmented Multimodal Generation
A human-annotated benchmark with 4,800 QA pairs evaluates how well AI models can retrieve and generate interleaved text-and-image answers.