1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.IR2025
VideoRAG: Retrieval-Augmented Generation with Extreme Long-Context Videos
Xubin Ren, Lingrui Xu, Long Xia +3
Retrieval-Augmented Generation (RAG) has demonstrated remarkable success in enhancing Large Language Models (LLMs) through external knowledge integration, yet its application has p…
cs.AI2025★ 1 cited
MiniRAG: Towards Extremely Simple Retrieval-Augmented Generation
Tianyu Fan, Jingyuan Wang, Xubin Ren +1
The growing demand for efficient and lightweight Retrieval-Augmented Generation (RAG) systems has highlighted significant challenges when deploying Small Language Models (SLMs) in…
cs.IR2022
Multi-Auxiliary Augmented Collaborative Variational Auto-encoder for Tag Recommendation
Jing Yi, Xubin Ren, Zhenzhong Chen
Recommending appropriate tags to items can facilitate content organization, retrieval, consumption and other applications, where hybrid tag recommender systems have been utilized t…