Zhao Zhang

RL agents can learn to write stronger formal specifications by using automatically generated negative tests as a reward signal for completeness, outperforming standard verification-based rewards.

Achieve state-of-the-art MRI super-resolution without paired training data by encoding physical properties into 3D Gaussians and rendering them efficiently.