1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2026
Denoising-Aware Inversion: Revealing Privacy Risks in Noise-Protected Text Embeddings
Yubo Wang, Shujie Cui, James Bailey +5
Dense text embeddings are widely used in data mining, retrieval, and downstream machine learning systems due to their compact and semantically rich representations, but recent embe…
cs.IR2025
Flow Matching based Sequential Recommender Model
Feng Liu, Lixin Zou, Xiangyu Zhao +5
Generative models, particularly diffusion model, have emerged as powerful tools for sequential recommendation. However, accurately modeling user preferences remains challenging due…
cs.CL2024★ 1 cited
Efficient Sparse Attention needs Adaptive Token Release
Chaoran Zhang, Lixin Zou, Dan Luo +4
In recent years, Large Language Models (LLMs) have demonstrated remarkable capabilities across a wide array of text-centric tasks. However, their `large' scale introduces significa…