most citedSeed-ASR: Understanding Diverse Speech and Contexts with LLM-based Speech Recognition

6 citations · 6 across the 2 of their papers we have counts for

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cs.LG2024

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…

cs.LG2023

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…