A team of researchers has found a way to steer the output of large language models by manipulating specific concepts inside these models. The new method could lead to more reliable, more efficient, ...
Abstract: This paper introduces FMCNN, a novel classification method that combines a two-dimensional feature matrix capturing raw data characteristics with a CNN-based classifier. Raw data are the ...
Abstract: Cooperative lane-change is a pivotal application of connected and automated vehicles (CAVs), enhancing traffic safety and efficiency, especially in congested urban areas and highway on-ramps ...