42 citations · 58 across the 12 of their papers we have counts for
4 papers · 1 filter
SplitMeanFlow: Interval Splitting Consistency in Few-Step Generative Modeling
Yi Guo, Wei Wang, Zhihang Yuan +8
Generative models like Flow Matching have achieved state-of-the-art performance but are often hindered by a computationally expensive iterative sampling process. To address this, r…
decoupleQ: Towards 2-bit Post-Training Uniform Quantization via decoupling Parameters into Integer and Floating Points
Yi Guo, Fanliu Kong, Xiaoyang Li +6
Quantization emerges as one of the most promising compression technologies for deploying efficient large models for various real time application in recent years. Considering that…
Accurate LoRA-Finetuning Quantization of LLMs via Information Retention
Haotong Qin, Xudong Ma, Xingyu Zheng +6
The LoRA-finetuning quantization of LLMs has been extensively studied to obtain accurate yet compact LLMs for deployment on resource-constrained hardware. However, existing methods…
RdimKD: Generic Distillation Paradigm by Dimensionality Reduction
Yi Guo, Yiqian He, Xiaoyang Li +4
Knowledge Distillation (KD) emerges as one of the most promising compression technologies to run advanced deep neural networks on resource-limited devices. In order to train a smal…