TensorGPT: Efficient Compression of the Embedding Layer in LLMs based on the Tensor-Train Decomposition

2 July 2023

Papers citing "TensorGPT: Efficient Compression of the Embedding Layer in LLMs based on the Tensor-Train Decomposition"

9 / 9 papers shown

Title
Parameter-Efficient Transformer Embeddings Henry Ndubuaku Mouad Talhi 29 0 0 04 May 2025
LSAQ: Layer-Specific Adaptive Quantization for Large Language Model Deployment Binrui Zeng Bin Ji Xiaodong Liu Jie Yu Shasha Li Jun Ma Xiaopeng Li Shangwen Wang Xinran Hong Yongtao Tang MQ 42 1 0 24 Dec 2024
MoDeGPT: Modular Decomposition for Large Language Model Compression Chi-Heng Lin Shangqian Gao James Seale Smith Abhishek Patel Shikhar Tuli Yilin Shen Hongxia Jin Yen-Chang Hsu 71 8 0 19 Aug 2024
Composable Interventions for Language Models Arinbjorn Kolbeinsson Kyle O'Brien Tianjin Huang Shanghua Gao Shiwei Liu ... Anurag J. Vaidya Faisal Mahmood Marinka Zitnik Tianlong Chen Thomas Hartvigsen KELM MU 89 5 0 09 Jul 2024
Beyond Perplexity: Multi-dimensional Safety Evaluation of LLM Compression Zhichao Xu Ashim Gupta Tao Li Oliver Bentham Vivek Srikumar 54 8 0 06 Jul 2024
Characterizing the Accuracy - Efficiency Trade-off of Low-rank Decomposition in Language Models Chakshu Moar Michael Pellauer Hyoukjun Kwon 38 1 0 10 May 2024
Faster and Lighter LLMs: A Survey on Current Challenges and Way Forward Arnav Chavan Raghav Magazine Shubham Kushwaha M. Debbah Deepak Gupta 23 18 0 02 Feb 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 6,996 0 20 Apr 2018