model quantization

Crash2DocAI: Automated Integration of Post-Crash Car Part Images into Technical Reports WACV 2026 DeltaQuant: 4-bit Video Diffusion Models with Spatiotemporal Delta Smoothing CVPR 2026 Double Rounding: Nearly Lossless Adaptive Bit Switching for QAT AAAI 2026 Efficient Real-Time Raw-to-Raw Denoising for Extreme Low-Light Ultra HD Video on Mobile Devices CVPR 2026 Fast and Accurate Fisher-Guided Quantization via Efficient Kronecker Factorization ACL 2026 FLRQ: Faster LLM Quantization with Flexible Low-Rank Matrix Sketching AAAI 2026 FQ-PETR: Fully Quantized Position Embedding Transformation for Multi-View 3D Object Detection AAAI 2026 HardF-SNN: Hardware-Friendly Quantization for Spiking Neural Networks with Efficient Integer-Arithmetic-Only Inference AAAI 2026 HierarchicalPrune: Position-Aware Compression for Large-Scale Diffusion Models AAAI 2026 IPTQ-ViT: Post-Training Quantization of Non-linear Functions for Integer-only Vision Transformers WACV 2026 mVLM: A Vision Language Model for mNPUs CVPR 2026 OTARo: Once Tuning for All Precisions Toward Robust On-Device LLMs AAAI 2026 Profiling-Free Mixed-Precision Quantization for MoE LLMs via Fuzzy Rule Interpolation ACL 2026 Q-ROAR: Outlier-Aware Rescaling for RoPE Position Interpolation in Quantized Long-Context LLMs (Student Abstract) AAAI 2026 QuantVSR: Low-Bit Post-Training Quantization for Real-World Video Super-Resolution AAAI 2026 QuEPT: Quantized Elastic Precision Transformers with One-Shot Calibration for Multi-Bit Switching AAAI 2026 S2D: Selective Spectral Decay for Quantization-Friendly Conditioning of Neural Activations CVPR 2026 Sampling-Aware Quantization for Diffusion Models CVPR 2026 SpecQuant: Spectral Decomposition and Adaptive Truncation for Ultra-Low-Bit LLMs Quantization AAAI 2026 SPEED-Q: Staged Processing with Enhanced Distillation Towards Efficient Low-Bit On-Device VLM Quantization AAAI 2026 Theoretical Compression Bounds for Wide Multilayer Perceptrons COLT 2026 TWEO: Transformers Without Extreme Outliers Enables FP8 Training And Quantization For Dummies CVPR 2026 ABQ-LLM: Arbitrary-Bit Quantized Inference Acceleration for Large Language Models AAAI 2025 Abstractive Summarization of Low resourced Nepali language using Multilingual Transformers COLING 2025 AMXFP4: Taming Activation Outliers with Asymmetric Microscaling Floating-Point for 4-bit LLM Inference ACL 2025