  In this study, we explore the proactive ability of LLMs to seek user support,
using text-to-SQL generation as a case study. We propose metrics to evaluate
the trade-off between performance improvements and user burden, and investigate
whether LLMs can determine when to request help and examine their performance
with varying levels of information availability. Our experiments reveal that
without external feedback, many LLMs struggle to recognize their need for
additional support. Our findings highlight the importance of external signals
and provide insights for future research on improving support-seeking
strategies.
