Intelligent Reading

Intelligent reading research aims to enhance reading comprehension and efficiency through technological assistance, focusing on areas like real-time reading progress tracking, automated question generation for improved comprehension, and AI-powered tools for individuals with reading difficulties. Current approaches leverage large language models, neural networks (including pointer networks and MLPs), and techniques like forced alignment and self-supervised learning to achieve these goals. This field holds significant potential for improving accessibility and learning outcomes, particularly for students with learning disabilities, and for optimizing information processing in professional settings like customer service.