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Natural Language to SQL on WikiSQL (test)

88.7AccuracyX-SQL
67.17272.76178.3583.939Sep 11, 2019Oct 3, 2020Oct 26, 2021Nov 18, 2022Dec 11, 2023Jan 2, 2025Jan 25, 2026

Evaluation results

MethodLinks
X-SQLSupervision setting=Fully-supervised2019.0988.7——
ShapLoRABackbone=LlaMA-3 8B, Number of random seeds=52026.0188.5——
AutoLoRABackbone=LlaMA-3 8B, Number of random seeds=52026.0187.5——
BitFitBackbone=LlaMA-3 8B, Number of random seeds=52026.0187.3——
LoRABackbone=LlaMA-3 8B, Number of random seeds=52026.0187.3——
AdaLoRABackbone=LlaMA-3 8B, Number of random seeds=52026.0186.9——
Housbly-AdapterBackbone=LlaMA-3 8B, Number of random seeds=52026.0186.8——
P-tuning v2Backbone=LlaMA-3 8B, Number of random seeds=52026.0186.4——
SQLovaSupervision setting=Fully-supervised2019.0986.2——
Discrete Hard EMSupervision setting=Weakly-supervised2019.0983.9——
Coarse2FineSupervision setting=Fully-supervised2019.0978.5——
MAPOX+MERLSupervision setting=Weakly-supervised2019.0974.8——
MAPOXSupervision setting=Weakly-supervised2019.0974.2——
TypeSQLSupervision setting=Fully-supervised2019.0973.5——
MAPOSupervision setting=Weakly-supervised2019.0972.4——
MMLSupervision setting=Weakly-supervised2019.0970.5——
SQLNetSupervision setting=Fully-supervised2019.0968——
Max lossYear=2017, Meta-learning=false2018.03—60.565.8
Meta + Max lossLearner=Max loss, Meta-learning=true2018.03—61.667
Meta + Pointer lossLearner=Pointer loss, Meta-learning=true2018.03—51.457.2
Meta + Sum lossLearner=Sum loss, Meta-learning=true2018.03—62.868
Pointer lossYear=2017, Meta-learning=false2018.03—46.151.8
PointerNetYear=20172018.03—43.353.3
Seq2SQLYear=20172018.03—48.359.4
Sum lossYear=2017, Meta-learning=false2018.03—61.566.8