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Hidden in Plain Sight: The Overlooked Significance of Canonical Elements for Extreme LLM Sparsity
Large language models (LLMs) are often considered fragile under aggressive sparsification, and maintaining reliable performance typically requires sticking to moderate sparsity levels. However, recent studies suggest that LLMs are more resilient to high sparsity than previously thought, reframing th
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