NeurIPS "low-bit quantization" Papers

5 papers found

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CodeGEMM: A Codebook-Centric Approach to Efficient GEMM in Quantized LLMs

Gunho Park, Jeongin Bae, Byeongwook Kim et al.

NeurIPS 2025posterarXiv:2512.17970

GPLQ: A General, Practical, and Lightning QAT Method for Vision Transformers

Guang Liang, Xinyao Liu, Jianxin Wu

NeurIPS 2025posterarXiv:2506.11784
4
citations

Quantization Error Propagation: Revisiting Layer-Wise Post-Training Quantization

Yamato Arai, Yuma Ichikawa

NeurIPS 2025posterarXiv:2504.09629
7
citations

RSAVQ: Riemannian Sensitivity-Aware Vector Quantization for Large Language Models

Zukang Xu, Xing Hu, Qiang Wu et al.

NeurIPS 2025posterarXiv:2510.01240

VETA-DiT: Variance-Equalized and Temporally Adaptive Quantization for Efficient 4-bit Diffusion Transformers

Qinkai XU, yijin liu, YangChen et al.

NeurIPS 2025oral