3 papers
cs.CV2026
Dynamic Eraser for Guided Concept Erasure in Diffusion Models
Qinghui Gong
Concept erasure in Text-To-Image (T2I) diffusion models is vital for safe content generation, but existing inference-time methods face significant limitations. Feature-correction a…
cs.CL2026
Understand Then Memory: A Cognitive Gist-Driven RAG Framework with Global Semantic Diffusion
Pengcheng Zhou, Haochen Li, Zhiqiang Nie +4
Retrieval-Augmented Generation (RAG) effectively mitigates hallucinations in LLMs by incorporating external knowledge. However, the inherent discrete representation of text in exis…
cs.LG2025
Orthogonal Soft Pruning for Efficient Class Unlearning
Qinghui Gong, Xue Yang, Xiaohu Tang
Efficient and controllable data unlearning in federated learning remains challenging, due to the trade-off between forgetting and retention performance. Especially under non-indepe…