Enabling Lightweight Fine-tuning for Pre-trained Language Model Compression based on Matrix Product Operators

4 June 2021

Papers citing "Enabling Lightweight Fine-tuning for Pre-trained Language Model Compression based on Matrix Product Operators"

4 / 4 papers shown

Title
Geometry is All You Need: A Unified Taxonomy of Matrix and Tensor Factorization for Compression of Generative Language Models Mingxue Xu Sadia Sharmin Danilo Mandic 40 2 0 03 Oct 2024
Unlocking Data-free Low-bit Quantization with Matrix Decomposition for KV Cache Compression Peiyu Liu Zeming Gao Wayne Xin Zhao Yipeng Ma Tao Wang Ji-Rong Wen MQ 37 5 0 21 May 2024
Tensor Networks Meet Neural Networks: A Survey and Future Perspectives Maolin Wang Yu Pan Zenglin Xu Xiangli Yang Guangxi Li A. Cichocki Andrzej Cichocki 61 19 0 22 Jan 2023
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 304 7,005 0 20 Apr 2018