EP288: Test-Time Training shatters quadratic sampling limits

Title: The Power of Test-Time Training for Approximate Sampling

Source: http://arxiv.org/abs/2606.11437v1

Summary:

This work provides a foundational theoretical framework for Test-Time Training (TTT) by formalizing it as an approximate sampling problem and establishing query complexity lower bounds. It offers principled mathematical backing for the emerging paradigm of adapting model weights at inference time to solve complex reasoning tasks.