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arxiv_llm_reliability · Nov 11, 2026 · paper

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Faithful in Steps: Improving Generalization and Citation in RAG via Query Decomposition

arxiv.orgNov 11, 2026
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In brief

Retrieval-augment generation is a prevalent strategy to mitigate hallucinations of LLMs. The attributable RAG (RAGQ) generates quotes for its answers. The quotes indicate which input contexts support the RAG to derive the answers, enhancing the answer's verifiability and trustwor

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Faithful in Steps: Improving Generalization and Citation in RAG via Query Decomposition

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