2026
Specialization after Generalization: Towards Understanding Test-Time Training in Foundation Models
ICLR 2026poster
Recent empirical studies have explored the idea of continuing to train a model at test-time for a given task, known as test-time training (TTT), and have found it to yield significant performance improvements. However, there is limited understanding of why and when TTT is effective. Earlier explanat…