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Safety for Whom? Benchmarking Understanding Beyond Refusal in Egocentric Multimodal Assistants
Egocentric multimodal assistants see through the user's eyes and guide what the user does next, so their outputs directly shape physical actions, including those that affect bystanders. Yet existing safety evaluations do not distinguish whom a response would harm, and score only whether a model refu
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