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This paper proposes SafeLLM, an extraction-based approach for retrieving information from safety-critical documents, showing that line-number selection outperforms rewriting-based RAG methods in reducing hallucinations while maintaining high recall.
Researchers found 28 AI-generated fake citations in medical papers that influence clinical guidelines, highlighting the risk of AI hallucinations undermining scientific integrity and patient care.