Who Am I? History-Aware Profiles for Student Simulation in Tutoring Dialogues
This work proposes a two-component framework in which a profile generator summarizes a student's history and a simulator predicts student turns conditioned on the resulting profile, which trains both components with reinforcement learning (RL), yielding profiles optimized for faithful student simulation.