VimRAG was evaluated across nine benchmarks — HotpotQA, SQuAD, WebQA, SlideVQA, MMLongBench, LVBench, WikiHowQA, SyntheticQA, and XVBench, a new cross-video benchmark the research team constructed from HowTo100M to address the lack of evaluation standards for cross-video understanding. All nine datasets were merged into a single unified corpus of approximately 200k interleaved multimodal items, making the evaluation harder and more representative of real-world conditions. GVE-7B served as the embedding model supporting text-to-text, image, and video retrieval.
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