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Aligning Large Language Models to Follow Instructions and Reduce Hallucinations via Effective Data Filtering

💡 原文英文，约100词，阅读约需1分钟。
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内容提要

本研究提出NOVA框架，通过内部一致性探测和语义等效识别，筛选高质量数据，解决大语言模型在指令调优阶段因陌生知识导致的幻觉问题，从而提升模型遵循指令的能力。

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标签

NOVA框架 models 大语言模型 幻觉问题 指令调优 高质量数据
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