3 papers
cs.IR2026
RCER: Reconstructing Cross-Evidence Relations for Iterative Retrieval-Augmented Generation
Linyao Zheng, Xuhang Shi, Zhifang Mao +2
Iterative retrieval-augmented generation (RAG) accumulates knowledge from retrieved evidence to answer complex questions, but existing methods struggle to reconstruct entity corres…
cs.IR2026
EvLink: Source-Grounded Evidence Linking for Graph RAG
Linyao Zheng, Xuhang Shi, Zhifang Mao +3
Graph-based Retrieval-Augmented Generation (GraphRAG) supports multi-hop reasoning by organizing corpora into structured graphs. However, graph reachability often captures semantic…
cs.IR2026
LineageRAG: Harnessing GraphRAG by Constructing Evidence Lineages with Source Grounding
Linyao Zheng, Xuhang Shi, Zhifang Mao +4
Graph-based Retrieval-Augmented Generation (GraphRAG) retrieves evidence for multi-hop questions over structured cor- pus graphs. Existing GraphRAG methods leave the connection bet…