【第170期】Chain of RAG

Seventy3 · Mar 19, 2025 · 10m

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Chain-of-Retrieval Augmented Generation

Summary

This paper introduces Chain-of-Retrieval Augmented Generation (CoRAG), a method that allows language models to iteratively retrieve and reason over relevant information. Unlike traditional RAG, CoRAG dynamically reformulates queries based on the evolving information state. To train CoRAG, the authors use rejection sampling to generate intermediate retrieval chains and fine-tune models to predict the next query, answer, and final response. The effectiveness of CoRAG is validated across benchmarks…