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Persona Following Is Not Selective Control: The Neutrality Gap in LLM User Simulation
Persona prompting is widely used to construct user simulations with large language models (LLMs), yet it relies on a largely untested assumption: specifying one user attribute should change that attribute alone. We test this assumption and identify a systematic failure of selective control: across a
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