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cs.IR2026★ 1 cited
BubbleRAG: Evidence-Driven Retrieval-Augmented Generation for Black-Box Knowledge Graphs
Duyi Pan, Tianao Lou, Xin Li +5
Large Language Models (LLMs) exhibit hallucinations in knowledge-intensive tasks. Graph-based retrieval augmented generation (RAG) has emerged as a promising solution, yet existing…
cs.DB2026
Reverse Neighbor Sliding and Order Selection for Efficient Multi-Proximity Graph Merging
Liuchang Jing, Mingyu Yang, Lei Li +2
Approximate k Nearest Neighbor (AKNN) search in high-dimensional space is a foundational problem in vector databases with widespread applications. Among the numerous AKNN indexes,…
cs.DB2026
E2E: Efficient Filtered AKNN Search via Adaptive Termination
Wenxuan Xia, Mingyu Yang, Wentao Li +1
Approximate k-Nearest Neighbor (AKNN) search is widely used in vector databases. When vectors carry additional attributes (e.g., labels or numerical values), filtered AKNN search r…