A systematic review of 63 RAG evaluation papers concludes that LLM-based automation is feasible across dataset generation, retrieval scoring, and answer evaluation, but only six studies directly compare LLM judges with human judges.
Si ren’s Song in the AI Ocean: A Survey on Hallucination in Large Langu age Models,
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Can LLMs Be Trusted for Evaluating RAG Systems? A Survey of Methods and Datasets
A systematic review of 63 RAG evaluation papers concludes that LLM-based automation is feasible across dataset generation, retrieval scoring, and answer evaluation, but only six studies directly compare LLM judges with human judges.