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Papers
QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models
ICLR 2024
QBB: Quantization with Binary Bases for LLMs
NeurIPS 2024
QDyLoRA: Quantized Dynamic Low-Rank Adaptation for Efficient Large Language Model Tuning
EMNLP 2024
QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Models
ICLR 2024
QTIP: Quantization with Trellises and Incoherence Processing
NeurIPS 2024
Quantization of Large Language Models with an Overdetermined Basis
UAI 2024
Quantized Side Tuning: Fast and Memory-Efficient Tuning of Quantized Large Language Models
ACL 2024
QUEEN: QUantized Efficient ENcoding of Dynamic Gaussians for Streaming Free-viewpoint Videos
NeurIPS 2024
QUIK: Towards End-to-end 4-Bit Inference on Generative Large Language Models
EMNLP 2024
RA-LoRA: Rank-Adaptive Parameter-Efficient Fine-Tuning for Accurate 2-bit Quantized Large Language Models
ACL 2024
Retraining-Free Model Quantization via One-Shot Weight-Coupling Learning
CVPR 2024
SAML: Speaker Adaptive Mixture of LoRA Experts for End-to-End ASR
Interspeech 2024
Sign Value Constraint Decomposition for Efficient 1-Bit Quantization of Speech Translation Tasks
Interspeech 2024
SS1: Accelerating Inference with Fast and Expressive Sketch Structured Transform
NeurIPS 2024
StepbaQ: Stepping backward as Correction for Quantized Diffusion Models
NeurIPS 2024
TaxoLLaMA: WordNet-based Model for Solving Multiple Lexical Semantic Tasks
ACL 2024
TFMQ-DM: Temporal Feature Maintenance Quantization for Diffusion Models
CVPR 2024
The Inhibitor: ReLU and Addition-Based Attention for Efficient Transformers (Student Abstract)
AAAI 2024
TinyAgent: Function Calling at the Edge
EMNLP 2024
Understanding and Minimising Outlier Features in Transformer Training
NeurIPS 2024
VPTQ: Extreme Low-bit Vector Post-Training Quantization for Large Language Models
EMNLP 2024
What Makes Quantization for Large Language Model Hard? An Empirical Study from the Lens of Perturbation
AAAI 2024
When Compression Meets Model Compression: Memory-Efficient Double Compression for Large Language Models
EMNLP 2024
Wino Vidi Vici: Conquering Numerical Instability of 8-Bit Winograd Convolution for Accurate Inference Acceleration on Edge
WACV 2024
xCOMET-lite: Bridging the Gap Between Efficiency and Quality in Learned MT Evaluation Metrics
EMNLP 2024