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Prompting Against Persona Drift: Comparing Intervention Timing and Content in LLM-Simulated Conversations
Simulating student personas with large language models (LLMs) enables scalable evaluation of educational systems. However, behavioral drift, a progressive decline in persona consistency, can emerge over extended conversations, limiting the validity of such simulations. We evaluate five prompt-level
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