Author

Peng Xia

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Preprint Aug 2026

SandwichQuant: Which Parameters Matter Before and After Quantization?

Quantization correction methods usually optimize weights, quantization parameters, or reconstruction objectives, while the underlying parameter subspaces responsible for effective correction remain unclear. In this work, we study quantization correction from a parameter subspace perspective and reveal that correction c...

Peng Xia, Junbiao Pang · 0 citations

Jul 2026

Efficient Tuning Before Low-Bit Post-Training Quantization for Stochastic Gradient Descent-optimized Models

Efficient Tuning Before Quantization (ETBQ) is proposed, a pre-conditioning tuning stage for Stochastic Gradient Descent (SGD)-optimized models before PTQ, which improves low-bit PTQ across diverse tasks.

Peng Xia, Junbiao Pang, Muhammad Ayub Sabir · arXiv.org · 0 citations