model quantization

Treasures in Discarded Weights for LLM Quantization AAAI 2025 Understanding Flatness in Generative Models: Its Role and Benefits ICCV 2025 Unifying Uniform and Binary-coding Quantization for Accurate Compression of Large Language Models ACL 2025 Unlocking the Potential of Lightweight Quantized Models for Deepfake Detection IJCAI 2025 Unveiling Environmental Impacts of Large Language Model Serving: A Functional Unit View ACL 2025 Variable Layerwise Quantization: A Simple and Effective Approach to Quantize LLMs ACL 2025 Vicomtech@WMT 2025: Evolutionary Model Compression for Machine Translation EMNLP 2025 Your Scale Factors are My Weapon: Targeted Bit-Flip Attacks on Vision Transformers via Scale Factor Manipulation CVPR 2025 A&B BNN: Add&Bit-Operation-Only Hardware-Friendly Binary Neural Network CVPR 2024 Accuracy is Not All You Need NeurIPS 2024 AFPQ: Asymmetric Floating Point Quantization for LLMs ACL 2024 ApiQ: Finetuning of 2-Bit Quantized Large Language Model EMNLP 2024 ATQ: Activation Transformation forWeight-Activation Quantization of Large Language Models EMNLP 2024 BiDM: Pushing the Limit of Quantization for Diffusion Models NeurIPS 2024 BitDelta: Your Fine-Tune May Only Be Worth One Bit NeurIPS 2024 Bi-ViT: Pushing the Limit of Vision Transformer Quantization AAAI 2024 Can Large Language Models Understand Context? EACL 2024 Compensate Quantization Errors: Make Weights Hierarchical to Compensate Each Other NAACL 2024 Data-Free Quantization via Pseudo-label Filtering CVPR 2024 DB-LLM: Accurate Dual-Binarization for Efficient LLMs ACL 2024 Do Emergent Abilities Exist in Quantized Large Language Models: An Empirical Study COLING 2024 DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs NeurIPS 2024 Efficient Multi-task LLM Quantization and Serving for Multiple LoRA Adapters NeurIPS 2024 Enhancing Post-training Quantization Calibration through Contrastive Learning CVPR 2024 Exploiting LLM Quantization NeurIPS 2024