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Text-to-SQL on WikiSQL (test)

84.5Logic Form AccuracyContent Enhanced BERT-based Text-to-SQL Generation
48.51657.85867.276.542Oct 16, 2019Oct 20, 2019Oct 24, 2019Oct 28, 2019Nov 1, 2019Nov 5, 2019Nov 10, 2019

Evaluation results

MethodLinks
Content Enhanced BERT-based Text-to-SQL GenerationExecution-guided decoding (EG)=true2019.1084.590.1—
Content Enhanced BERT-based Text-to-SQL GenerationExecution-guided decoding (EG)=false2019.1083.789.2—
SQLovaBackbone=BERT-Base-Uncased, Execution-guided decoding (EG)=false2019.108085.5—
MQANBERT augmentation=false, Execution-guided decoding=false2019.1175.481.4—
RAT-SQLBERT augmentation=false, Execution-guided decoding=false2019.1173.378.8—
Coarse2FineBERT augmentation=false, Execution-guided decoding=false2019.1171.778.5—
PT-MAMLBERT augmentation=false, Execution-guided decoding=false2019.1162.868—
IncSQLBERT augmentation=false, Execution-guided decoding=false2019.1149.983.7—
MATE2025.03——82.6
T2 M0 TPE B E1Transformer variant=T2, Mask configuration=M0, Positional encoding=TPE, Bias=B, Encoding=E12025.03——78.5
T2 M3 TPE B E1Transformer variant=T2, Mask configuration=M3, Positional encoding=TPE, Bias=B, Encoding=E12025.03——80.3
TableFormer2025.03——60.5
TAPAS2025.03——78
TAPEX2025.03——74.7