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20242026
most citedDual-Optimized Adaptive Graph Reconstruction for Multi-View Graph Clustering

7 citations · 11 across the 34 of their papers we have counts for

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5 papers · 1 filter

cs.CV2024

OCR Hinders RAG: Evaluating the Cascading Impact of OCR on Retrieval-Augmented Generation

Junyuan Zhang, Qintong Zhang, Bin Wang +6

Retrieval-augmented Generation (RAG) enhances Large Language Models (LLMs) by integrating external knowledge to reduce hallucinations and incorporate up-to-date information without…

cs.LG2024★ 7 cited

Dual-Optimized Adaptive Graph Reconstruction for Multi-View Graph Clustering

Zichen Wen, Tianyi Wu, Yazhou Ren +4

Multi-view clustering is an important machine learning task for multi-media data, encompassing various domains such as images, videos, and texts. Moreover, with the growing abundan…

cs.AI2024★ 1 cited

SiMilarity-Enhanced Homophily for Multi-View Heterophilous Graph Clustering

Jianpeng Chen, Yawen Ling, Yazhou Ren +4

With the increasing prevalence of graph-structured data, multi-view graph clustering has been widely used in various downstream applications. Existing approaches primarily rely on…

cs.CV2024

MJ-Bench: Is Your Multimodal Reward Model Really a Good Judge for Text-to-Image Generation?

Zhaorun Chen, Yichao Du, Zichen Wen +16

While text-to-image models like DALLE-3 and Stable Diffusion are rapidly proliferating, they often encounter challenges such as hallucination, bias, and the production of unsafe, l…

cs.LG2024

Homophily-Related: Adaptive Hybrid Graph Filter for Multi-View Graph Clustering

Zichen Wen, Yawen Ling, Yazhou Ren +5

Recently there is a growing focus on graph data, and multi-view graph clustering has become a popular area of research interest. Most of the existing methods are only applicable to…