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University of Bristol
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Activating latent security knowledge in LLMs can significantly reduce exploitable vulnerabilities in generated code without the overhead of retraining.
LLM multi-agent systems can achieve significantly higher accuracy at a fraction of the cost by learning to selectively delegate tasks instead of relying on rigid orchestration.
Stop optimizing generative engines in isolation: MAGEO learns reusable editing strategies that dramatically improve visibility and citation fidelity across diverse engines.