1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.CR2025★ 1 cited
Exposing Privacy Risks in Graph Retrieval-Augmented Generation
Jiale Liu, Jiahao Zhang, Suhang Wang
Retrieval-Augmented Generation (RAG) is a powerful technique for enhancing Large Language Models (LLMs) with external, up-to-date knowledge. Graph RAG has emerged as an advanced pa…
cs.LG2025
Identifying Trustworthiness Challenges in Deep Learning Models for Continental-Scale Water Quality Prediction
Xiaobo Xia, Xiaofeng Liu, Jiale Liu +5
Water quality is foundational to environmental sustainability, ecosystem resilience, and public health. Deep learning offers transformative potential for large-scale water quality…