Text Adaptation

Text adaptation focuses on modifying text to suit specific audiences or applications, improving accessibility, readability, and effectiveness. Current research emphasizes leveraging large language models (LLMs) to automate this process, exploring techniques like prompt-based metrics for difficulty assessment, improved neural transducer architectures for speech recognition adaptation, and novel data preprocessing methods for code generation. These advancements have significant implications for diverse fields, including education, accessibility for visually impaired individuals, and software engineering, by enabling more efficient and effective text generation and modification tailored to specific needs.