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20242026
most citedKnowing You Don't Know: Learning When to Continue Search in Multi-round RAG through Self-Practicing

13 citations · 15 across the 9 of their papers we have counts for

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cs.CL2024

IM-RAG: Multi-Round Retrieval-Augmented Generation Through Learning Inner Monologues

Diji Yang, Jinmeng Rao, Kezhen Chen +4

Although the Retrieval-Augmented Generation (RAG) paradigms can use external knowledge to enhance and ground the outputs of Large Language Models (LLMs) to mitigate generative hall…