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Mitigating LLM Hallucinations Using a Multi-Agent Framework

The rapid advancement of Large Language Models (LLMs) has led to substantial investment in enhancing their capabilities and expanding their feature sets. Despite these developments, a critical gap remains between model sophistication and their dependable deployment in real-world applications. A key...

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Auteurs principaux: Ahmed M. Darwish, Essam A. Rashed, Ghada Khoriba
Format: Artigo
Langue:Inglês
Publié: MDPI AG 2025-06-01
Collection:Information
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Accès en ligne:https://www.mdpi.com/2078-2489/16/7/517
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