low-bit quantization

A Universal Self-Attention Enhancement for Bridging Low-bit Quantization and Vision Transformers WACV 2026 Bit-by-Bit: Progressive QAT Strategy with Outlier Channel Splitting for Stable Low-Bit LLMs ACL 2026 CAR-SAM: Cross-Attention Reconstruction for Post-Training Quantization of the Segment Anything Model CVPR 2026 LS-ViT: Least-Squares Hessian Based Block Reconstruction for Low-Bit Post-Training Quantization of Vision Transformers CVPR 2026 PE-QAT: Parameter-Efficient Quantization-Aware Training for Large Language Models ACL 2026 QuantVLA: Scale-Calibrated Post-Training Quantization for Vision-Language-Action Models CVPR 2026 QuantVSR: Low-Bit Post-Training Quantization for Real-World Video Super-Resolution AAAI 2026 Reconstruction Attack-Resistant Inference Paradigm for LLM Cloud Services AAAI 2026 SPEED-Q: Staged Processing with Enhanced Distillation Towards Efficient Low-Bit On-Device VLM Quantization AAAI 2026 ASER: Activation Smoothing and Error Reconstruction for Large Language Model Quantization AAAI 2025 CASP: Compression of Large Multimodal Models Based on Attention Sparsity CVPR 2025 CBQ: Cross-Block Quantization for Large Language Models ICLR 2025 DGQ: Distribution-Aware Group Quantization for Text-to-Image Diffusion Models ICLR 2025 Efficient Low-Bit Quantization with Adaptive Scales for Multi-Task Co-Training ICLR 2025 EfficientQAT: Efficient Quantization-Aware Training for Large Language Models ACL 2025 FIMA-Q: Post-Training Quantization for Vision Transformers by Fisher Information Matrix Approximation CVPR 2025 Grouped Sequency-arranged Rotation: Optimizing Rotation Transformation for Quantization for Free ACL 2025 JAQ: Joint Efficient Architecture Design and Low-Bit Quantization with Hardware-Software Co-Exploration AAAI 2025 Low-Bit Quantization Favors Undertrained LLMs ACL 2025 MPPQ: Enhancing Post-Training Quantization for LLMs via Mixed Supervision, Proxy Rounding, and Pre-Searching IJCAI 2025 MPQ-DM: Mixed Precision Quantization for Extremely Low Bit Diffusion Models AAAI 2025 Pioneering 4-Bit FP Quantization for Diffusion Models: Mixup-Sign Quantization and Timestep-Aware Fine-Tuning CVPR 2025 PTQ1.61: Push the Real Limit of Extremely Low-Bit Post-Training Quantization Methods for Large Language Models ACL 2025 Punching Above Precision: Small Quantized Model Distillation with Learnable Regularizer ACML 2025 QUADS: Quantized Distillation Framework for Efficient Speech Language Understanding Interspeech 2025