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insight - Retrieval-Augmented Generation Evaluation
Automated Evaluation Framework for Retrieval-Augmented Generation Systems
ARES is an automated framework for evaluating retrieval-augmented generation (RAG) systems along the dimensions of context relevance, answer faithfulness, and answer relevance.
Comprehensive Evaluation of Retrieval-Augmented Generation Systems: Factuality, Retrieval, and Reasoning
FRAMES, a novel evaluation dataset, comprehensively tests the factuality, retrieval, and reasoning capabilities of retrieval-augmented generation (RAG) systems in a unified framework.
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