Certified Against Which Oracle? Execution Labels Set the Reported Risk of Conformal Abstention for Text-to-SQL

📅 2026-09-22
📈 Citations: 0
✨ Influential: 0
📄 PDF
🤖 AI Summary
研究通过替换数据库来校准文本到SQL的符合性弃权证书,揭示了不同oracle对报告风险的影响,并建议使用两个oracle进行报告。
📝 Abstract
A conformal abstention certificate for text-to-SQL is only as truthful as the correctness labels it is calibrated on. The uncertainty pipelines that read confidence off execution consistency take those labels from the single database a benchmark ships, an oracle known to be lenient. We run a preregistered intervention on Spider-Realistic, swapping that database for the benchmark's distilled multi-instance test suite. Across four SQL-specialist checkpoints and two split schemes, the swap raises the certificate's held-out risk 2.73 to 10.23 points above the risk its own labels report. Neither oracle reports the risk experts assign. Under blinded labels from two SQL experts, a certificate calibrated at a nominal 0.10 carries 20.0 and 17.2 points of risk on two checkpoints. The stricter oracle errs in both directions: most of the answers it rejects are not judged wrong, and some of those it accepts are. An AI-assigned census of what it rejects finds a semantic error in a quarter to a third of them, depending on the population. It attributes most of the rest to underspecified questions, synthetic instances or suspected reference-query defects, a flag supported by a preregistered blinded expert audit. The oracle also decides how a confidence score is judged. Every execution-consistency score looks better under the labels of the oracle that built its clusters, in 16 of 16 combinations. Under expert labels, building such a score on suite clusters instead of shipped-database clusters raises its area under the ROC curve (AUROC) by 6.96 points on one checkpoint and 1.53 on the other. On the second, the expert interval excludes the 8.3 points the suite labels report. A certificate should be reported with both oracles, and an oracle-relative difference read as semantic risk only after the benchmark is audited. A consistency score should be evaluated under an oracle that did not build it.
Problem

Research questions and friction points this paper is trying to address.

conformal abstention
execution labels
text-to-SQL
risk assessment
oracle
Innovation

Methods, ideas, or system contributions that make the work stand out.

conformal abstention
execution consistency
oracle
risk assessment
text-to-SQL
🔎 Similar Papers
No similar papers found.
J
Jiamiao Liu
Department of Information, Xinqiao Hospital, Army Medical University (Third Military Medical University), Chongqing 400037, China
Dewen Qiao
Dewen Qiao
Xinqiao Hospital, Army Medical University (Third Military Medical University)
Federated learningConvex optimizationEdge computing
Yu Zhang
Yu Zhang
University of Science and Technology of China
Efficient AI SystemsProgramming SystemsProgram AnalysisMulti-Modal Perception
X
Xuetao Chen
Department of Information, Xinqiao Hospital, Army Medical University (Third Military Medical University), Chongqing 400037, China