contrastive learning 1knowledge graph retrieval 1LLM prompting 1multi-hop retrieval 1query-triplet alignment 1
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cs.IR2026
KAMR: Grounding Generation via Knowledge-Aligned Multi-hop Retrieval
Xiaochen Wang, Yuan Zhong, Haoyu Wang +2
The paper presents KAMR, a knowledge‑aligned multi‑hop retriever that first identifies anchor graph triplets strongly tied to a query and then locally expands to connected evidence…
cs.IR2025
GPR: Empowering Generation with Graph-Pretrained Retriever
Xiaochen Wang, Zongyu Wu, Yuan Zhong +3
Graph retrieval-augmented generation (GRAG) places high demands on graph-specific retrievers. However, existing retrievers often rely on language models pretrained on plain text, l…