9 citations · 15 across the 3 of their papers we have counts for
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cs.LG2023★ 4 cited
E-Sparse: Boosting the Large Language Model Inference through Entropy-based N:M Sparsity
Yun Li, Lin Niu, Xipeng Zhang +3
Traditional pruning methods are known to be challenging to work in Large Language Models (LLMs) for Generative AI because of their unaffordable training process and large computati…
cs.LG2022★ 2 cited
MKQ-BERT: Quantized BERT with 4-bits Weights and Activations
Hanlin Tang, Xipeng Zhang, Kai Liu +2
Recently, pre-trained Transformer based language models, such as BERT, have shown great superiority over the traditional methods in many Natural Language Processing (NLP) tasks. Ho…