Reader-Adaptive Texts: Automatic Simplification with Readability Control

This talk addresses automatic text simplification that adapts to different reader proficiency levels. Key topics include readability control approaches, complexity representation using metrics and models, incorporation into simplification systems through training and Large Language Models, and evaluation challenges balancing simplicity with meaning preservation. The discussion draws from TSAR 2025 shared task results and explores applications in education and public communication.