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Current VLMs struggle with real-time safety monitoring in dynamic household environments, but a new hierarchical architecture significantly improves the latency-accuracy trade-off.
A reward-free observer can achieve the same asymptotic efficiency as a fully reward-aware learner in Inverse Contextual Bandits, simply by ignoring the learner's initial exploratory actions.
By intelligently grouping vector quantized features based on their information content, EG-GRVQ achieves state-of-the-art speech reconstruction at ultra-low bitrates.
Radiologists and AI can mutually reinforce each other's diagnostic accuracy by integrating visual cognition traces into a collaborative network for chest X-ray diagnosis.
