2 papers
cs.CV2025
VAEVQ: Enhancing Discrete Visual Tokenization through Variational Modeling
Sicheng Yang, Xing Hu, Qiang Wu +1
Vector quantization (VQ) transforms continuous image features into discrete representations, providing compressed, tokenized inputs for generative models. However, VQ-based framewo…
cs.LG2025
RSAVQ: Riemannian Sensitivity-Aware Vector Quantization for Large Language Models
Zukang Xu, Xing Hu, Qiang Wu +1
Large language models (LLMs) have demonstrated remarkable performance across a wide range of natural language processing tasks. However, their exponentially increasing parameters p…