conftrace_

weight quantization

137 papers

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Also known as

WQ

Co-occurring keywords

model compression (3302) model quantization (281) large language model (13587) post-training quantization (131) neural network quantization (122) activation quantization (49) neural network optimization (1293) knowledge distillation (3725) binary neural network (75) inference optimization (219)

Papers

SpecQuant: Spectral Decomposition and Adaptive Truncation for Ultra-Low-Bit LLMs Quantization AAAI 2026
LBLLM: Lightweight Binarization of Large Language Models via Three-Stage Distillation ACL 2026
HarmoQ: Harmonized Post-Training Quantization for High-Fidelity Image Super-Resolution AAAI 2026
First-Order Error Matters: Accurate Compensation for Quantized Large Language Models AAAI 2026
On the Impact of Weight Quantization on Deep Neural Network Uncertainty AAAI 2026
BWLA: Breaking the Barrier of W1AX Post-Training Quantization for LLMs ACL 2026
Sherry: Hardware-Efficient 1.25-Bit Ternary Quantization via Fine-grained Sparsification ACL 2026
ACBQ: Adaptive Cross-Block Quantization of Large Language Models ACL 2026
Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers CVPR 2025
FBQuant: FeedBack Quantization for Large Language Models IJCAI 2025
SiLQ: Simple Large Language Model Quantization-Aware Training IJCNLP 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
Variable Layerwise Quantization: A Simple and Effective Approach to Quantize LLMs ACL 2025
Achieving binary weight and activation for LLMs using Post-Training Quantization ACL 2025
Treasures in Discarded Weights for LLM Quantization AAAI 2025
ClusComp: A Simple Paradigm for Model Compression and Efficient Finetuning ACL 2025
Unifying Uniform and Binary-coding Quantization for Accurate Compression of Large Language Models ACL 2025
Quantized Can Still Be Calibrated: A Unified Framework to Calibration in Quantized Large Language Models ACL 2025
MLWQ: Efficient Small Language Model Deployment via Multi-Level Weight Quantization EMNLP 2025
Qua2SeDiMo: Quantifiable Quantization Sensitivity of Diffusion Models AAAI 2025
SSVQ: Unleashing the Potential of Vector Quantization with Sign-Splitting ICCV 2025
Scheduling Weight Transitions for Quantization-Aware Training ICCV 2025
OAC: Output-adaptive Calibration for Accurate Post-training Quantization AAAI 2025
VQ4DiT: Efficient Post-Training Vector Quantization for Diffusion Transformers AAAI 2025