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Yu Luo

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Preprint Aug 2026

Recurrent Residual Quantization: A Progressive Multi-Precision Representation for LLMs

Recurrent Residual Quantization (RRQ) is introduced, a post-training quantization (PTQ) framework that represents weights as a low-bit quantized base together with a sequence of quantized residual corrections, enabling multiple effective precisions from a single checkpoint.

Yu Luo, Bo Dong, Wenhua Cheng et al. · 0 citations

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