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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 fa
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