2 citations · 2 across the 4 of their papers we have counts for
4 papers
EcoSafeRAG: Efficient Security through Context Analysis in Retrieval-Augmented Generation
Ruobing Yao, Yifei Zhang, Shuang Song +2
Retrieval-Augmented Generation (RAG) compensates for the static knowledge limitations of Large Language Models (LLMs) by integrating external knowledge, producing responses with en…
Differential Privacy Personalized Federated Learning Based on Dynamically Sparsified Client Updates
Chuanyin Wang, Yifei Zhang, Neng Gao +1
Personalized federated learning is extensively utilized in scenarios characterized by data heterogeneity, facilitating more efficient and automated local training on data-owning te…
ParetoRAG: Leveraging Sentence-Context Attention for Robust and Efficient Retrieval-Augmented Generation
Ruobing Yao, Yifei Zhang, Shuang Song +3
While Retrieval-Augmented Generation (RAG) systems enhance Large Language Models (LLMs) by incorporating external knowledge, they still face persistent challenges in retrieval inef…
Learning to Select Prototypical Parts for Interpretable Sequential Data Modeling
Yifei Zhang, Neng Gao, Cunqing Ma
Prototype-based interpretability methods provide intuitive explanations of model prediction by comparing samples to a reference set of memorized exemplars or typical representative…