The paper introduces a framework called Self-Reflective Retrieval-Augmented Generation (SELF-RAG) that enhances the quality and factuality of large language models (LLMs) by incorporating retrieval and self-reflection. SELF-RAG outperforms existing models on various tasks.

https://arxiv.org/abs//2310.11511

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