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Personal GUI agents waste most of their retrieved history; this framework activates experience only when it's actually applicable, boosting performance and efficiency.
Adversarial techniques traditionally seen as threats are now being repurposed by content owners to proactively safeguard their visual assets from misuse.
LLM agents can now defend against indirect prompt injection attacks without sacrificing task performance, thanks to a new method that surgically manipulates attention based on latent space analysis.