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Eshta Bhardwaj, Rohan Alexander, Christoph Becker , year= · arXiv 2501.17980

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cs.LG 1

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2026 1

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UNVERDICTED 1

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DLR: Zero-Inference-Cost Latent Residuals for Low-Rank Pre-Training

cs.LG · 2026-06-27 · unverdicted · novelty 5.0

DLR augments low-rank factorization with a fixed structured residual during training that is absorbed post-training, improving C4 perplexity for LLaMA models from 60M to 7B while preserving exact low-rank inference cost.

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  • DLR: Zero-Inference-Cost Latent Residuals for Low-Rank Pre-Training cs.LG · 2026-06-27 · unverdicted · none · ref 23

    DLR augments low-rank factorization with a fixed structured residual during training that is absorbed post-training, improving C4 perplexity for LLaMA models from 60M to 7B while preserving exact low-rank inference cost.