Bayesian-LoRA: LoRA based Parameter Efficient Fine-Tuning using Optimal Quantization levels and Rank Values trough Differentiable…
The Impact of Quantization on Retrieval-Augmented Generation: An Analysis of Small LLMsby Mert Yazan, Suzan…
T2S-GPT: Dynamic Vector Quantization for Autoregressive Sign Language Production from Textby Aoxiong Yin, Haoyuan Li,…
One QuantLLM for ALL: Fine-tuning Quantized LLMs Once for Efficient Deploymentsby Ke Yi, Yuhui Xu,…
HQ-DiT: Efficient Diffusion Transformer with FP4 Hybrid Quantizationby Wenxuan Liu, Sai Qian ZhangFirst submitted to…
MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantizationby Tianchen Zhao, Xuefei Ning,…
Two Heads are Better Than One: Neural Networks Quantization with 2D Hilbert Curve-based Output Representationby…
Trio-ViT: Post-Training Quantization and Acceleration for Softmax-Free Efficient Vision Transformerby Huihong Shi, Haikuo Shao, Wendong…
Efficient Text-driven Motion Generation via Latent Consistency Trainingby Mengxian Hu, Minghao Zhu, Xun Zhou, Qingqing…
When Quantization Affects Confidence of Large Language Models?by Irina Proskurina, Luc Brun, Guillaume Metzler, Julien…