Specification and Evaluation of Multi-Agent LLM Systems -- Prototype and Cybersecurity Applications

arXiv:2506.10467 · cs.CR, cs.AI · Submitted 2025-06-12 · Read on arXiv

cs.CR, cs.AI

Submitted: 2025-06-12

Updated: 2025-07-19

Code: https://github.com/fhaer/multi-agent-llm-system

Terminology

• Multi-Agent System — 12× in this paper · explained in 6 episodes
• Benchmark — 6× in this paper · explained in 2 episodes
• Transformer — 3× in this paper · explained in 2 episodes
• Host Execution Environment — 2× in this paper
• Knowledge Graph — 2× in this paper · explained in 7 episodes
• Large Language Models (LLMs) — 2× in this paper · explained in 6 episodes
• Reinforcement Learning — 2× in this paper · explained in 4 episodes
• Accuracy — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 4 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Generative Pre-trained Transformers — 1× in this paper
• Hallucination — 1× in this paper · explained in 4 episodes
• Introspection — 1× in this paper · explained in 2 episodes
• Knowledge graphs — 1× in this paper · explained in 2 episodes
• RAG — 1× in this paper · explained in 3 episodes
• Retrieval Augmented Generation (RAG) — 1× in this paper · explained in 4 episodes
• Self-consistency — 1× in this paper · explained in 2 episodes

Sources

• DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
• Graph-constrained Reasoning: Faithful Reasoning on Knowledge Graphs with Large Language Models

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