Liu Yang

Prediction accuracy alone can mask critical failures in operator fidelity, as our spectral audit uncovers hidden instabilities and inconsistencies in neural operator networks.

Large-scale generative models struggle with low-level vision tasks, revealing critical performance gaps that conventional metrics fail to capture.

Current audio-visual generation models struggle to maintain coherence and alignment when scaling to minute-long content, a problem exposed by the new LongAV-Compass benchmark.