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Astute RAG - Overcoming Imperfect Retrieval Augmentation and Knowledge Conflicts For Large Language Models by i.cell.sieben is a document available to read on EtoBox.

The document discusses the limitations of retrieval-augmented generation (RAG) in large language models (LLMs) due to imperfect retrieval, which can introduce misleading or harmful information, leading to knowledge conflicts. It introduces A STUTE RAG, a novel approach designed to enhance the robustness and trustworthiness of RAG by adaptively consolidating internal and external knowledge while addressing conflicts. Experiments show that A STUTE RAG outperforms existing methods and effectively mitigates the

Author
i.cell.sieben
Language
EN