Evaluating LLMs on Conversational Text-to-SQL under Chain Ambiguity and Intent Drift
TIDE-Bench is introduced, a benchmark for conversational text-to-SQL under chain ambiguity and intent drift evaluation, targeting two recurring patterns: chain ambiguity, where an underspecified question triggers layered clarification with conditional dependencies, and intent drift, where the user retracts and replaces a previously committed request element.
Yu-Jia Liu, Jia-Yan Lin, Zijin Hong et al.
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