Yong-Zhi Tong

LUNAR: Benchmarking Personalized Large Language Models on UNiversal User BehAvioR Logs

LUNAR is introduced, the first benchmark for evaluating how LLMs personalize responses from longitudinal app interaction histories across universal daily-life domains, including clothing, food, housing, and mobility, and a multi-stage coarse-to-fine synthesis pipeline grounded in real-world behavioral patterns.