A five-agent LLM system with learned fusion weights and an adversarial training loop reports 97.89% accuracy and a 95.88% F1 score on pooled public phishing corpora, roughly 20 F1 points above single-agent and chain-of-thought baselines.
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MultiPhishGuard: An Explainable and Adaptive Multi-Agent LLM System for Phishing Email Detection
A five-agent LLM system with learned fusion weights and an adversarial training loop reports 97.89% accuracy and a 95.88% F1 score on pooled public phishing corpora, roughly 20 F1 points above single-agent and chain-of-thought baselines.