2025
IP-Dialog: Evaluating Implicit Personalization in Dialogue Systems with Synthetic Data
EMNLP 2025
In modern dialogue systems, the ability to implicitly infer user backgrounds from conversations and leverage this information for personalized assistance is crucial. However, the scarcity of high-quality data remains a fundamental challenge to evaluating and improving this capability. Traditional da