Robustness of Prompting: Enhancing Robustness of Large Language Models Against Prompting Attacks 事件

Robustness of Prompting: Enhancing Robustness of Large Language Models Against Prompting Attacks arXiv:2506.03627v2 Announce Type: replace Abstract: Large Language Models (LLMs) have demonstrated remarkable performance across various tasks by effectively utilizing a prompting strategy. However, they are highly sensitive to input perturbations, such as typographical errors or slight character order errors, which can significantly impair their performance. Despite advances in prompting techniques