GitHub

microsoft/vptq

Vector Post-Training Quantization (VPTQ) is a novel Post-Training Quantization method that leverages Vector Quantization to high accuracy on LLMs at an extremely low bit-width (<2-bit). VPTQ can ...
Journal of Medical Internet Research

Classifying the Information Needs of Survivors of Domestic Violence in Online Health Communities Using Large Language Models: Prediction Model Development and Evaluation Study

Data augmentation was applied using GPT-3.5 to expand our dataset to 2216 samples by generating 1922 additional posts that imitated the existing data. We adopted a progressive training strategy to ...
IEEE

A Body-Scale Robotic Skin Using Distributed Multimodal Sensing Modules: Design, Evaluation, and Application

Abstract: Robotic systems start to coexist around humans but cannot physically interact as humans do due to the absence of tactile sensitivity across their bodies. Various studies have developed a ...
IEEE

Performance Evaluation of Coverage Prediction in 4G Networks Using Machine Learning Classification Algorithm

Abstract: Network coverage prediction is an important aspect of 4G network planning and optimization. In this study, we conducted a comprehensive analysis of the performance of various machine ...