Papers with adaptive augmentation

1 papers
Adaptive Retrieval-Augmented Generation for Conversational Systems (2025.findings-naacl)

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Challenge: Existing studies have shown the effectiveness of retrieving and augmenting external knowledge for informative responses.
Approach: They propose to use a gating model to predict if a conversational system requires retrieval-augmented generation to generate high-quality responses with high confidence.
Outcome: The proposed model can predict if a conversational system requires RAG to generate high-quality responses with high confidence.

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