Papers by Shahul Es

1 papers
RAGAs: Automated Evaluation of Retrieval Augmented Generation (2024.eacl-demo)

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Challenge: RAGAs are a framework for reference-free evaluation of Retrieval Augmented Generation (RAG) pipelines.
Approach: They propose a framework for reference-free evaluation of Retrieval Augmented Generation pipelines.
Outcome: RAGAs can be used to evaluate RAG pipelines without human annotations . the framework can be useful for faster evaluation cycles given the fast adoption of LLMs based on human annotation.

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