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Hao-Tong Qin

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#artificial intelligence Preprint Sep 2026

JustQuant: You Don't Need Smoothing, SVD, or Rotation for 4-Bit Activation Quantization

Recent generative models have become increasingly powerful, but their inference cost continues to grow. Model quantization offers a promising way to compress these models and accelerate inference. However, at 4 bits, activation quantization is substantially more challenging than weight quantization. Recent post-trainin...

Kai-Cheng Yang, Kai-Sen Yang, Chun-Yu Liu et al. · 0 citations

#small language model Preprint Sep 2026

SPHQuant: Efficient extreme low bit weight quantization for Vision-Language Models

SPHQuant is a rotation-free spherical weight-only quantization framework for VLMs that isolates outlier magnitude into the radius while keeping directions bounded and statistically regular and designs a hardware-friendly GEMV kernel that keeps the direction codebook small enough for shared-memory lookup and packs radia...

Ke-Wei Zhang, Zheng Chen, Hao-Tong Qin et al. · 0 citations