Few-Shot Test-Time Optimization Without Retraining for Semiconductor Recipe Generation and Beyond

Shangding Gu, Donghao Ying, Ming Jin +4

We introduce Model Feedback Learning (MFL), a novel test-time optimization framework for optimizing inputs to pre-trained AI models or deployed hardware systems without requiring a…