2 citations · 2 across the 10 of their papers we have counts for
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cs.IR2026
EviProp: Seeded Relevance Diffusion on Chunk-Page Graphs for Long Multimodal Document Retrieval
Hongwei Zhang, Xiaoman Wang, Zehui Ling +7
Retrieving evidence pages from visually rich long documents is a key challenge in document question answering. Existing page-level visual retrievers operate under an independent ma…
cs.IR2025
HetaRAG: Hybrid Deep Retrieval-Augmented Generation across Heterogeneous Data Stores
Guohang Yan, Yue Zhang, Pinlong Cai +7
Retrieval-augmented generation (RAG) has become a dominant paradigm for mitigating knowledge hallucination and staleness in large language models (LLMs) while preserving data secur…
cs.IR2025★ 2 cited
RAKG:Document-level Retrieval Augmented Knowledge Graph Construction
Hairong Zhang, Jiaheng Si, Guohang Yan +5
With the rise of knowledge graph based retrieval-augmented generation (RAG) techniques such as GraphRAG and Pike-RAG, the role of knowledge graphs in enhancing the reasoning capabi…