This paper presents a system for automatic prompt engineering that is much simpler in both design and application and yet as effective as the existing approaches. It requires no tuning and no explicit clues about the task. We evaluated our approach on cryptic column name expansion (CNE) in database tables, a task which is critical for tabular data search, access, and understanding and yet there has been very little existing work. We evaluated on datasets in two languages, English and German. This is the first work to report on the application of automatic prompt engineering for the CNE task. To the best of our knowledge, this is also the first work on the application of automatic prompt engineering for a language other than English.

翻译：本文提出了一种自动提示工程系统，其设计与应用均更为简洁，且效果与现有方法相当。该系统无需调优，也无需明确的任务线索。我们在数据库表的隐晦列名扩展任务上评估了所提出的方法，该任务对于表格数据的搜索、访问和理解至关重要，但现有研究却极为匮乏。我们在英语和德语两种语言的数据集上进行了评估。这是首个将自动提示工程应用于列名扩展任务的研究工作。据我们所知，这也是首个将自动提示工程应用于英语以外语言的研究。