Factuality-Aware Alignment (FLAME): Enhancing Large Language Models for Reliable and Accurate Responses

Large Language Models (LLMs) represent a significant leap in artificial intelligence, offering robust natural language understanding and generation capabilities. These advanced models can perform various tasks, from aiding virtual assistants to generating comprehensive content and conducting in-depth data analysis. Despite their impressive range of applications, LLMs face a critical challenge in generating factually accurate responses, […]

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