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Cross-frame feedback boosts Transformer tracking performance by leveraging historical information, outperforming traditional same-frame methods by up to 3.2 AO points.
By normalizing rewards across groups of sampled communication graphs, Graph-GRPO stabilizes multi-agent topology learning and uncovers critical communication pathways obscured by noisy, absolute rewards.
AI-powered pathology slashes GTD diagnosis time by 71% while boosting accuracy, offering a lifeline for maternal health.
