Prompt Optimization via Adversarial In-Context Learning

Xuan Long Do, Yiran Zhao, Hannah Brown +6

We propose a new method, Adversarial In-Context Learning (adv-ICL), to optimize prompt for in-context learning (ICL) by employing one LLM as a generator, another as a discriminator…