Sigma Jahan

Existing fault diagnosis techniques miss a critical 0.190 accuracy gap when applied to unseen deep learning programs, revealing a fundamental flaw in current evaluation strategies.

Pinpointing the root cause of transformer failures just got a whole lot easier: DEFault++ can detect, categorize, and diagnose faults with high accuracy, even down to specific mechanisms.