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Zhenghua Bao

FlashLabs

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#artificial intelligence Preprint Mar 2026

IndexRAG: Index-Time Reasoning for Multi-Hop Retrieval-Augmented Generation

IndexRAG is presented, a novel approach that shifts cross-document reasoning from online inference to offline indexing and achieves the best average performance among all evaluated methods, including graph-based baselines such as HippoRAG2 and FastGraphRAG, while relying on a flat vector index.

Zhenghua Bao, Yidong Shi · 2 citations
Preprint Aug 2026

Better Retrieval, Worse Robustness: How Multi-hop RAG Amplifies Upstream ASR Errors

Speech-based applications pass spoken queries through automatic speech recognition (ASR) before any retrieval module, so ASR errors enter the pipeline as a fixed upstream constraint. We empirically test whether two extensions to standard retrieval-augmented generation (RAG), entity-graph linking and iterative reformula...

Zhenghua Bao · 1 citation

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