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Nicole Harder

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Activation- and Influence-Aware Ranks (AIR): Function-Preserving SVD Compression for LLMs

An SVD-based LLM compression framework that guides each weight matrix's low-rank approximation with a backward-signal influence metric, which improves perplexity over SVD-LLM(W) by>18% at<=60% parameter retention, matches its quality with ~90% less calibration data, and turns parameter savings into FLOP, peak-memory, a...

Nicole Harder, Daniel Becking, Karsten Mueller et al. · 0 citations

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