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How Do LLMs Cite? A Mechanistic Interpretation of Attribution in Retrieval-Augmented Generation
Retrieval-Augmented Generation (RAG) aims to enhance the trustworthiness of Large Language Models (LLMs) by grounding their outputs in external documents, often using inline citations for verifiability. However, the faithfulness of these citations -- whether the model genuinely uses a source to gene
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