Xuanlang Dai

Forget textual rules and coarse embeddings: fine-grained visual reward modeling is all you need to nail vision-to-code tasks, even surpassing models 30x larger.

Diffusion models can now reason their way through complex spatial tasks with near-perfect accuracy, thanks to a new framework that unlocks chain-of-thought reasoning within the latent space.