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The advancements in Large Language Models (LLMs) have been hindered by their substantial sizes, which necessitates LLM compression methods for practical deployment.
A generalization of the eckart-young-mirsky matrix approximation theorem
G.H. Golub, Alan Hoffman, and G.W. Stewart · 1987
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Matrix Analysis and Applied Linear Algebra
Carl Dean Meyer · 2000
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Pointer sentinel mixture models
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Language model compression with weighted low-rank factorization
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Truthfulqa: Measuring how models mimic human falsehoods
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OPT: open pre-trained transformer language models
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Qserve: W4A8KV4 quantization and system co-design for efficient LLM serving
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alphaXiv searches the wider corpus for related work and actual follow-ups.
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Albert Q. Jiang, Alexandre Sablayrolles, Arthur Mensch, Chris Bamford, Devendra Singh Chaplot, Diego de Las Casas, Florian Bressand, Gianna Lengyel, Guillaume Lample, Lucile Saulnier, Lélio Renard Lavaud, Marie-Anne Lachaux, Pierre Stock, Teven Le Scao, Thibaut Lavril, Thomas Wang, Timothée Lacroix, and William El Sayed · 2023
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A survey of large language models
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A survey on model compression for large language models
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Efficient diffusion models: A survey
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