Evaluating the Hidden Costs of Personalization in Large Language Models
PRISK is proposed, a dynamic evaluation framework with automated data generation and tailored metrics that uncovers systematic limitations in current LLM personalization and how personalized information shapes its responses.
Yumeng Wang, Yu-Chen Wu, Cheng Qian et al.
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