Xianglong Yan

Quant-dLLM: Post-Training Extreme Low-Bit Quantization for Diffusion Large Language Models

RobuQ: Pushing DiTs to W1.58A2 via Robust Activation Quantization

Progressive Binarization with Semi-Structured Pruning for LLMs

PT$^2$-LLM: Post-Training Ternarization for Large Language Models

ReCalKV: Low-Rank KV Cache Compression via Head Reordering and Offline Calibration

ARB-LLM: Alternating Refined Binarizations for Large Language Models