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Active reconstruction in memory-augmented LLMs can boost reasoning performance by over 20% while cutting down on resource consumption.
A dedicated guard agent, trained via reasoning-intensive methods, can effectively neutralize prompt injection attacks in web-navigating agents without sacrificing performance.