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• AA-SVD enables rapid compression of billion-parameter models without retrainingmethod 95%
• AA-SVD accounts for both original inputs and shifted inputs from upstream compression, unlike existing factorization approachesmethod 90%
• AA-SVD refines each transformer block end-to-end to minimize block-level output distortionmethod 90%
• AA-SVD consistently outperforms existing SVD-based baselines across compression ratiosresult 85%
• AA-SVD's advantage becomes increasingly pronounced at aggressive compression budgets where competing methods degrade substantially or collapse entirelyresult 85%
• AA-SVD maintains functional equivalence with the original model through anchored compressiontechnical 80%
• AA-SVD offers a practical solution for efficient, large-scale model deploymentmarket 75%

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