无需任务提示和调优，自动设计有效提示词解决数据库字段名解析问题
Automatic Prompt Engineering with No Task Cues and No Tuning
- 基于无任务提示的自动化提示生成框架，无需参数调优
- 在英德双语数据集上实现与现有方法相当的准确率
- 首次将自动提示工程应用于非英语场景和数据库字段扩展任务
本文提出一种更简单高效且效果相当的自动提示工程系统，无需任务提示和参数调优。我们在数据库表中晦涩字段名扩展（CNE）任务上进行了评估，该任务对表格数据的搜索、访问和理解至关重要，但现有研究极少。实验覆盖英语和德语两种语言的数据集，这是首次将自动提示工程应用于CNE任务，也是首次在非英语语言上开展此类研究。
原文摘要 · Abstract (English)
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.
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