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Ben-Gurion University of the Negev
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CXR-Retrieve reveals that effective chest X-ray retrieval hinges on understanding not just what findings are present, but how they are clinically asserted, leading to substantial gains in precision.
Sparse, task-aware radar configurations can outperform traditional full-array setups, revolutionizing radar design for autonomous vehicles.
Weight inconsistency can be bounded for efficiency gains, leading to training time improvements of up to 1.69x without sacrificing stability.
Get GPT-4o-level long-video QA performance with 10x fewer FLOPs by using a hierarchical, training-free frame selector that combines multimodal experts and fuzzy logic.