most citedHyper-RAG: Combating LLM Hallucinations using Hypergraph-Driven Retrieval-Augmented Generation

1 citations · 1 across the 1 of their papers we have counts for

collaborators

3 papers

cs.IR2025★ 1 cited

Hyper-RAG: Combating LLM Hallucinations using Hypergraph-Driven Retrieval-Augmented Generation

Yifan Feng, Hao Hu, Xingliang Hou +5

Large language models (LLMs) have transformed various sectors, including education, finance, and medicine, by enhancing content generation and decision-making processes. However, t…

cs.LG2025

Multi-view Spectral Clustering on the Grassmannian Manifold With Hypergraph Representation

Murong Yang, Shihui Ying, Xin-Jian Xu +1

Graph-based multi-view spectral clustering methods have achieved notable progress recently, yet they often fall short in either oversimplifying pairwise relationships or struggling…

cs.LG2025

Overlap-aware meta-learning attention to enhance hypergraph neural networks for node classification

Murong Yang, Shihui Ying, Yue Gao +1

Although hypergraph neural networks (HGNNs) have emerged as a powerful framework for analyzing complex datasets, their practical performance often remains limited. On one hand, exi…