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Simon Woodhead

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#natural language process... May 2026

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.

Zhangqi Duan, Shuyan Huang, Alexander Scarlatos et al. · arXiv.org · 0 citations