Xuewen Liu

最新

• Sparsity Induction for Accurate Post-Training Pruning of Large Language Models
• SAQ-SAM: Semantically-Aligned Quantization for Segment Anything Model
• DilateQuant: Accurate and Efficient Diffusion Quantization via Weight Dilation
• K-Sort Eval: Efficient Preference Evaluation for Visual Generation via Corrected VLM-as-a-Judge
• PTQ4ARVG: Post-Training Quantization for AutoRegressive Visual Generation Models
• Efficient-SAM2: Accelerating SAM2 with Object-Aware Visual Encoding and Memory Retrieval
• CacheQuant: Comprehensively Accelerated Diffusion Models
• K-sort arena: Efficient and reliable benchmarking for generative models via k-wise human preferences
• DilateQuant: Accurate and Efficient Diffusion Quantization via Weight Dilation
• RepQuant: Towards Accurate Post-Training Quantization of Large Transformer Models via Scale Reparameterization
• EDA-DM: Enhanced distribution alignment for post-training quantization of diffusion models