<ul><li>BATprompt (By Adversarial Training prompt) is a novel method for prompt generation designed to withstand input perturbations.</li><li>It uses adversarial training techniques to generate prompts that have strong performance on perturbed tasks.</li><li>BATprompt avoids reliance on real gradients or model parameters and leverages the advanced capabilities of Large Language Models (LLMs).</li><li>Experiments show that BATprompt outperforms existing prompt generation methods, delivering robustness and performance under diverse perturbation scenarios.</li></ul>

Robustness-aware Automatic Prompt Optimization

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