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Review Oct 2026

Fluent but Fallible: Benchmarking Hallucination and Factual Reliability in Large Language Models

Large Language Models (LLMs) have significantly advanced natural language processing and artificial intelligence applications through their capabilities in reasoning, text generation and knowledge retrieval. However, LLMs are still vulnerable to two important challenges: hallucination, generating factually incorrect or...

Osama Shabih, Dayam Nadeem, S. Sohail et al. · 0 citations

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