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Structure-Aware RAG: Structured Retrieval Augmented Generation from Noisy Data for Conversational Agents

arXiv cs.CL · 2026-05-26 Cached

Proposes Structure-Aware RAG (SA-RAG), which uses tables as an intermediate structured representation to reduce noise in retrieval-augmented generation for conversational agents, with quality-aware metadata generation and two table generation methods, outperforming existing baselines on noisy real-world datasets.

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