Abstract: In this work, we propose a novel variational Bayesian adaptive learning approach for cross-domain knowledge transfer to address acoustic mismatches between training and testing conditions, ...
A lightweight framework that gives language models (LMs) a persistent, evolving memory during inference time. Dynamic Cheatsheet (DC) endows black-box language models with the ability to store and ...
Abstract: This study examines the impact and mediating mechanisms of AI-powered adaptive learning platforms on enhancing English reading proficiency. Using structural equation modeling (SEM) on data ...