ProTTT: Learning to Learn Semantic User Memory with Test-Time Training
ProTTT is introduced, a profile-supervised meta-learning framework for learning semantic user memory that consistently outperforms both full history ICL and all parametric baselines across diverse benchmarks, while substantially reducing inference cost by compressing user history into a lightweight parameterized memory...
Sejun Park, Hyo-Eun C. Bhang, Hyein Jeong et al.
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