GRAPE outperforms the second best method by 3.8 log-units reduction in final average regret on large language model prompt optimization tasks

on large language model prompt optimization tasks, it outperforms the second best method by a reduction of 3.8 log-units in the final average regret

http://arxiv.org/abs/2608.25116v1