AINeutralarXiv – CS AI · Mar 55/10
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Towards Realistic Personalization: Evaluating Long-Horizon Preference Following in Personalized User-LLM Interactions
Researchers have introduced RealPref, a new benchmark for evaluating how well Large Language Models follow user preferences in long-term personalized interactions. The study reveals that LLM performance significantly degrades with longer contexts and more implicit preference expressions, highlighting challenges in developing user-aware AI assistants.