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Prioritizing questions based on the severity of potential diagnostic errors can drastically reduce high-severity misses in medical dialogue by nearly 30%.
Achieve better compression in low-bit quantization by considering not just numerical sensitivity, but also the structural role of each layer.
Explicitly teaching LVLMs to reason step-by-step with reinforcement learning unlocks state-of-the-art performance on multimodal object-entity relation extraction.
