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20242026
most citedSLoPe: Double-Pruned Sparse Plus Lazy Low-Rank Adapter Pretraining of LLMs

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cs.AI2026

Compression Trinity: Exploring Sparsity, Quantization, and Low-Rank Approximations for LLM Compression

Mohammad Mozaffari

Prohibitive computational and environmental costs impede the scalable deployment of Large Language Models (LLMs). Traditional compression techniques (sparsity, quantization, low-ra…