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Hypergraph visualization in RAG systems boosts performance by effectively utilizing the visual perception capabilities of multimodal large language models.
EgoMed-Agent achieves over six times better segmentation accuracy than existing text-prompted methods by effectively aligning user intent with visual data in real-time.