I Need Help! Evaluating LLM’s Ability to Ask for Users’ Support: A Case Study on Text-to-SQL Generation
Appier · Appier Inc. · National Taiwan University · Department of Computer Science and Informational Engineering, National Taiwan University
PDF 由论文原始站点提供,PaperCompass 不保存论文文件。DOI 10.18653/v1/2024.emnlp-main.131 ↗
摘要
This study explores the proactive ability of LLMs to seek user support. We propose metrics to evaluate the trade-off between performance improvements and user burden, and investigate whether LLMs can determine when to request help under varying information availability. Our experiments show that without external feedback, many LLMs struggle to recognize their need for user support. The findings highlight the importance of external signals and provide insights for future research on improving support-seeking strategies. Source code: https://github.com/appier-research/i-need-help