3 papers
cs.CL2025
Learning to Erase Private Knowledge from Multi-Documents for Retrieval-Augmented Large Language Models
Yujing Wang, Jinwen Chen, Hainan Zhang +5
Retrieval-Augmented Generation (RAG) is a promising technique for applying LLMs to proprietary domains. However, retrieved documents may contain sensitive knowledge, posing risks o…
cs.CV2019
Discriminative Embedding Autoencoder with a Regressor Feedback for Zero-Shot Learning
Ying Shi, Wei Wei, Zhiming Zheng
Zero-shot learning (ZSL) aims to recognize the novel object categories using the semantic representation of categories, and the key idea is to explore the knowledge of how the nove…
cs.SI2017
Exploring the Node Importance Based on von Neumann Entropy
Xiangnan Feng, Wei Wei, Jiannan Wang +2
When analyzing the statistical and topological characteristics of complex networks, an effective and convenient way is to compute the centralities for recognizing influential and s…