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Active reconstruction in memory-augmented LLMs can boost reasoning performance by over 20% while cutting down on resource consumption.
Self-evolving LLM agents can be persistently compromised by injecting malicious payloads into their long-term memory, turning them into "zombie agents" that execute unauthorized actions across sessions.
