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Architectural Sampling: Test-Time Scaling via Computational Diversity in Frozen Vision-Language Models
Test-time scaling often seeks better answers by sampling multiple responses from a frozen model, yet conventional temperature sampling generates every candidate along the same fixed computation path. We introduce architectural sampling, a training-free method that generates candidates through distinct forward computati …