A team of researchers has found a way to steer the output of large language models by manipulating specific concepts inside ...

Abstract: Post-training quantization (PTQ) has emerged as a practical approach to compress large neural networks, making them highly efficient for deployment. However, effectively reducing these ...

This repository contains the implementation of the granular ball-based feature selection algorithm for multi-label learning, as described in the research paper published in Knowledge-Based Stems. Note ...

Optimizing weight parameters in Feedforward Backpropagation Algorithms (FBPA) is critical for accurate classification of partial discharge (PD) patterns in solid insulation systems. In previous work, ...