Survey of Knowledge Conflicts in Large Language Models: Pathways to Enhanced Accuracy and Reliability

Large language models (LLMs) have taken center stage in artificial intelligence, fueling advancements in many applications, from enhancing conversational AI to powering complex analytical tasks. Their crux of functionality lies in their ability to sift through and apply a vast repository of encoded knowledge acquired through exhaustive training on wide-ranging datasets. This strength also poses […]

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