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20232026
most citedTensorGPT: Efficient Compression of Large Language Models based on Tensor-Train Decomposition

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cs.CL2024

Geometry is All You Need: A Unified Taxonomy of Matrix and Tensor Factorization for Compression of Generative Language Models

Mingxue Xu, Sadia Sharmin, Danilo P. Mandic

Matrix and tensor-guided parametrization for Natural Language Processing (NLP) models is fundamentally useful for the improvement of the model's systematic efficiency. However, the…