Search Results for author: Zhengxin Zhang

Found 7 papers, 3 papers with code

Quantized Side Tuning: Fast and Memory-Efficient Tuning of Quantized Large Language Models

1 code implementation13 Jan 2024 Zhengxin Zhang, Dan Zhao, Xupeng Miao, Gabriele Oliaro, Qing Li, Yong Jiang, Zhihao Jia

Experiments show that QST can reduce the total memory footprint by up to 2. 3 $\times$ and speed up the finetuning process by up to 3 $\times$ while achieving competent performance compared with the state-of-the-art.

SpecInfer: Accelerating Generative Large Language Model Serving with Tree-based Speculative Inference and Verification

3 code implementations16 May 2023 Xupeng Miao, Gabriele Oliaro, Zhihao Zhang, Xinhao Cheng, Zeyu Wang, Zhengxin Zhang, Rae Ying Yee Wong, Alan Zhu, Lijie Yang, Xiaoxiang Shi, Chunan Shi, Zhuoming Chen, Daiyaan Arfeen, Reyna Abhyankar, Zhihao Jia

Our evaluation shows that SpecInfer outperforms existing LLM serving systems by 1. 5-2. 8x for distributed LLM inference and by 2. 6-3. 5x for offloading-based LLM inference, while preserving the same generative performance.

Decoder Language Modelling +1

Non-Asymptotic Performance Guarantees for Neural Estimation of $\mathsf{f}$-Divergences

no code implementations11 Mar 2021 Sreejith Sreekumar, Zhengxin Zhang, Ziv Goldfeld

Statistical distances (SDs), which quantify the dissimilarity between probability distributions, are central to machine learning and statistics.

ZQM at SemEval-2019 Task9: A Single Layer CNN Based on Pre-trained Model for Suggestion Mining

no code implementations SEMEVAL 2019 Qimin Zhou, Zhengxin Zhang, Hao Wu, Linmao Wang

In our system, the input of convolutional neural network is the embedding vectors which are drawn from the pre-trained BERT model.

Position Suggestion mining

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