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Marcos Charalambides

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Preprint Aug 2026

Proving the Utility of Large Language Models in Cybersecurity Simulations: A Comprehensive Examination

YAML is employed as a structured representation format for simulating complex network configurations, thereby enabling Large Language Model-driven pipelines to support and improve reinforcement learning (RL) agent training, and underscore the transformative potential of integrating LLMs into cybersecurity research.

S. Kampakis, Fabio Rovai, Marcos Charalambides et al. · 0 citations

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