Evaluating LLMs on Conversational Text-to-SQL under Chain Ambiguity and Intent Drift
arXiv:2608.29543v1 Announce Type: new Abstract: Recent advances in large language models (LLMs) have established conversational text-to-SQL as a practical interface between users and databases, often involving multiple turns of clarification and revision. However, existing benchmarks primarily…