Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
vladbogo.substack.com
Today’s paper introduces Self-Reflective Retrieval-Augmented Generation (SELF-RAG), a new framework that enhances the quality and factuality of large language models (LLMs) through retrieval and self-reflection. SELF-RAG trains a language model to adaptively retrieve passages on-demand and generate and reflect on retrieved passages and its own generations using special reflection tokens.
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Self-RAG: Learning to Retrieve, Generate, and…
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Today’s paper introduces Self-Reflective Retrieval-Augmented Generation (SELF-RAG), a new framework that enhances the quality and factuality of large language models (LLMs) through retrieval and self-reflection. SELF-RAG trains a language model to adaptively retrieve passages on-demand and generate and reflect on retrieved passages and its own generations using special reflection tokens.