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A new dataset, SeIQA, offers a benchmark to evaluate how humans perceive semantic loss in degraded images, pushing beyond traditional quality metrics.
Achieve more factual radiology reports by unifying neuro-symbolic reasoning with active uncertainty minimization, outperforming existing encoder-decoder and retrieval-augmented methods.
