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Matching papers

StudentSim: Training LLM-based Student Simulators

399 upvotes · 1 SEP 2026 · Ke Yang, Chenglong Wang, Michel Galley et al.

This paper develops a method to create personalized AI tutors that can adapt to individual students' strengths and weaknesses, using a combination of pooled training and per-student fine-tuning. Practitioners in education and AI development may care about this work as it could lead to more effective and personalized learning experiences.

LLM-based simulatorscontinual learningeducational AIreinforcement learningtutoring systems