StudentSim: Training LLM-based Student Simulators
This work presents StudentSim, a training framework that turns sparse per-student data into individualized simulators through pooled training followed by per-student specialization, and introduces StudentSimEval, a standardized protocol covering 60 students across chess, second-language English writing, and mathematics...
Ke Yang, Chenglong Wang, Michel Galley et al.
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