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FAIR-Calib: Frontier-Aware Instability-Reweighted Calibration for Post-Training Quantization of Diffusion Large Language Models
针对扩散大语言模型量化中的“稳定性滞后”问题，提出前沿感知重加权校准方法，有效抑制量化误差导致的早期决策翻转。
arXiv:2606.06547v1 Announce Type: cross Abstract: Diffusion Large Language Models (dLLMs) refine tokens iteratively but commit them irreversibly, lead…