TRAS adds success-based textual regularization and Monte Carlo signal aggregation to black-box prompt optimization, improving accuracy and reducing instruction loss when moving prompts across models.
Improving language under- standing by generative pre-training
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Stabilizing Black-Box Prompt Optimization with Textual Regularization and Signal Aggregation
TRAS adds success-based textual regularization and Monte Carlo signal aggregation to black-box prompt optimization, improving accuracy and reducing instruction loss when moving prompts across models.