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Small Models, Big Insights: Leveraging Slim Proxy Models To Decide When And What To Retrieve For Llms

Abstract

The integration of large language models (LLMs) and search engines represents a significant evolution in knowledge acquisition methodologies. However, determining the knowledge that an LLM already possesses and the knowledge that requires the help of a search engine remains an unresolved issue. Most existing methods solve this problem through the results of preliminary answers or reasoning done by

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