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most citedThe Power of Noise: Redefining Retrieval for RAG Systems

204 citations · 269 across the 17 of their papers we have counts for

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cs.CV2026

Concept-Enhanced Multimodal RAG: Towards Interpretable and Accurate Radiology Report Generation

Marco Salmè, Federico Siciliano, Fabrizio Silvestri +3

Radiology Report Generation (RRG) through Vision-Language Models (VLMs) promises to reduce documentation burden, improve reporting consistency, and accelerate clinical workflows. H…