Over-Personalization Is a Decision Failure: Generation-Induced Apply Bias in LLMs

Personalized LLMs must decide, for each stored preference, whether the current context calls for applying or suppressing it, which we call its applicability. They frequently over-personalize, applying preferences the context rules out, yet existing benchmarks score only the final response and cannot