ARCS：面向精确Text-to-SQL的结构化消歧基准

1. 12:00
   arXiv · Computation and Language

   ARCS：通过结构化消歧实现精准 Text-to-SQL

   研究者提出结构化消歧范式，用显式、受约束的交互替代自由对话来解决 Text-to-SQL 用户问题中的歧义，并构建基准 ARCS（Ambiguity Resolution Corpus for SQL），覆盖真实数据库上的自然无约束歧义及完整标注。实验显示 gpt-6-sol 端到端执行准确率仅 51%，开源模型均未超过 27%。该基准为 arXiv:2610.09396 [cs.CL]。

Current heat 9·Comparable peak 10（Oct 8）·Comparable change over 24 hours –

The trend compares only the same participants observed continuously; its range may be smaller than the current heat count. Move or click on the chart to inspect hourly heat; use the left and right arrow keys to switch.