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Semantic masks are all you need: predicting mask dynamics in world models yields surprisingly robust and generalizable robot policies compared to predicting raw pixels.
Achieve strong, controllable privacy in federated biomedical AI without sacrificing performance, thanks to a lightweight key-embedded implicit neural representation.
MLLMs stumble badly when asked to reason about safety in lab settings, dropping 32% in performance compared to general knowledge, revealing a critical gap for real-world deployment.
