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Current MLLMs can only identify and explain environmental risks in secure authentication scenarios with limited effectiveness, revealing a significant vulnerability in their design.
Amortizing planning in latent world models leads to an order-of-magnitude reduction in planning time while boosting success rates across multiple benchmarks.
