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Three-Level Optimization Proposed for Low-Rank LLM Compression
A new arXiv paper argues that truncating each weight matrix independently with SVD, while optimal per matrix, lets compression errors accumulate across a transformer block. The authors propose a three-level optimization scheme that accounts for how these errors compound through nonlinear layers. The work targets better accuracy retention in low-rank LLM compression.