Retrieval-Free Suggestion Question Generation via Large Language Models

Abstract excerpt

This paper addresses the challenge of ambiguous and poorly formulated user queries in Retrieval-Augmented Generation (RAG) based conversational systems. Current RAG systems often struggle to provide satisfactory responses to such queries, hindering user experience. To mitigate this issue, we propose a novel approach for suggestion question generation that moves beyond traditional retrieval-based methods. Our metho...

Topics

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• Artificial Intelligence
• COVID-19 diagnosis using AI
• Decision Support Systems, Clinical
• Electronic Health Records
• Genetic Variation
• Genetics, Medical

Identifiers and source

Literature Corpus work

68275ec9-a5d3-5234-9f7e-9fca96f11955

DOI

10.20944/preprints202502.2045.v1