Author

Min-Woo Kang

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Preprint Aug 2026

INSIDE the Student's Mind: Jointly Modeling Latent Reasoning and Action in LLM Student Simulators

Large Language Model (LLM)-based simulators often reproduce observable actions but fail to capture the underlying reasoning behind them. In education, where student simulation is increasingly used for various applications such as evaluating tutoring systems, this gap is especially pronounced. Two students may submit id...

Rose Niousha, Min-Woo Kang, Narges Norouzi · 1 citation

#natural language process... Preprint Sep 2026

Pretrained Persona Mixture Models and Tandem Models for Human Simulation

We argue here that the current dominant practice in LLM human simulation: prompting instruction-tuned assistant language models to role-play personas, is inaccurate and produces stereotyped predictions (lacking natural diversity). It has previously been shown that LLMs can be bound to personas using naturalistic, freet...

Min-Woo Kang, Téa Wright, Seun Eisape et al. · 0 citations