weight quantization

ACBQ: Adaptive Cross-Block Quantization of Large Language Models ACL 2026 BWLA: Breaking the Barrier of W1AX Post-Training Quantization for LLMs ACL 2026 DeltaQuant: 4-bit Video Diffusion Models with Spatiotemporal Delta Smoothing CVPR 2026 First-Order Error Matters: Accurate Compensation for Quantized Large Language Models AAAI 2026 HarmoQ: Harmonized Post-Training Quantization for High-Fidelity Image Super-Resolution AAAI 2026 LBLLM: Lightweight Binarization of Large Language Models via Three-Stage Distillation ACL 2026 On the Impact of Weight Quantization on Deep Neural Network Uncertainty AAAI 2026 Rethinking Asymmetric Quantization: Hidden Symmetry in Vision Model Weights CVPR 2026 Sherry: Hardware-Efficient 1.25-Bit Ternary Quantization via Fine-grained Sparsification ACL 2026 SpecQuant: Spectral Decomposition and Adaptive Truncation for Ultra-Low-Bit LLMs Quantization AAAI 2026 Achieving binary weight and activation for LLMs using Post-Training Quantization ACL 2025 Adaptive Partitioning Schemes for Optimistic Optimization ICML 2025 Assigning Distinct Roles to Quantized and Low-Rank Matrices Toward Optimal Weight Decomposition ACL 2025 BitTTS: Highly Compact Text-to-Speech Using 1.58-bit Quantization and Weight Indexing Interspeech 2025 BoA: Attention-aware Post-training Quantization without Backpropagation ICML 2025 Cauchy-Schwarz Regularizers ICLR 2025 ClusComp: A Simple Paradigm for Model Compression and Efficient Finetuning ACL 2025 Direct Quantized Training of Language Models with Stochastic Rounding ACML 2025 DiTAS: Quantizing Diffusion Transformers via Enhanced Activation Smoothing WACV 2025 FBQuant: FeedBack Quantization for Large Language Models IJCAI 2025 From Attention to Activation: Unraveling the Enigmas of Large Language Models ICLR 2025 GenPTQ: Green Post-Training Quantization for Large-Scale ASR Models with Mixed-Precision Bit Allocation EMNLP 2025 KurTail : Kurtosis-based LLM Quantization EMNLP 2025 LRQ: Optimizing Post-Training Quantization for Large Language Models by Learning Low-Rank Weight-Scaling Matrices NAACL 2025 MLWQ: Efficient Small Language Model Deployment via Multi-Level Weight Quantization EMNLP 2025