Editing Openai/6910f96f-f278-8006-9996-5cf14ff7a27f (section)

==== Key Results ====
* Over 15 rounds of prompt optimization, the F1 scores on both training and validation data show an overall upward trend for all three emotion datasets.
* This suggests that iteratively rephrasing prompts and selecting the better ones can gradually improve task performance.
* The authors observe that: - Some datasets react more strongly to prompt changes than others. - In some cases, even a simple first prompt can perform surprisingly well, leaving less room for improvement.

Importantly, in this paper they only evaluate classification performance; they do not yet systematically evaluate:
* How users perceive readability and clarity of prompts, or
* How useful the textual explanations are in practice.

Those aspects are left for future user studies.