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Skip the training data: MLLMs can directly reason about audio-visual relationships to localize sound sources, achieving competitive performance in complex acoustic scenes.
Designing robots for aging-in-place requires moving beyond simple convenience to address equity concerns and reduce the compounded cognitive-physical burden of daily activities.