Sejun Park

ProTTT: Learning to Learn Semantic User Memory with Test-Time Training

Personalization requires language models to capture user-specific knowledge from a growing user history. Existing context-based approaches incur increasing inference costs as user history accumulates and rely on separate retrieval or summarization stages, while parametric-based approaches often require reconstructing u...