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cs.LG2025
ARA: Adaptive Rank Allocation for Efficient Large Language Model SVD Compression
Lin Xv, Jingsheng Gao, Xian Gao +2
In the field of large language model (LLM) compression, singular value decomposition (SVD) is a widely studied and adopted low-rank decomposition technique. Since SVD operates excl…
cs.LG2025
Beyond Uniform SVD:Dual-Level Optimization across Columns and Modules for LLM Compression
Lin Xv, Xian Gao, Ting Li +1
Low-rank decomposition, particularly Singular Value Decomposition (SVD), is a pivotal technique for mitigating the storage and computational demands of Large Language Models (LLMs)…