← Search

Zhongying Ru

1 accepted papers

2026

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

AAAI 2026technical

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

Cited by 0SourcePDFScholar