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SotA/Natural Language Processing/Text-To-SQL/spider

Text-To-SQL on spider

Metric: Execution Accuracy (Test) (higher is better)

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#Model↕Execution Accuracy (Test)▼Extra DataPaperDate↕Code
1XiYan-SQL89.65NoA Preview of XiYan-SQL: A Multi-Generator Ensemb...2024-11-13Code
2PET-SQL87.6NoPET-SQL: A Prompt-Enhanced Two-Round Refinement ...2024-03-13Code
3DAIL-SQL + GPT-4 + Self-Consistency86.6NoText-to-SQL Empowered by Large Language Models: ...2023-08-29Code
4DIN-SQL + GPT-485.3NoDIN-SQL: Decomposed In-Context Learning of Text-...2023-04-21Code
5MSc-SQL84.7NoMSc-SQL: Multi-Sample Critiquing Small Language ...2024-10-16Code
6MARLO + Claude 2.184NoLearning Metadata-Agnostic Representations for T...2024-10-17-
7C3 + ChatGPT + Zero-Shot82.3NoC3: Zero-shot Text-to-SQL with ChatGPT2023-07-14Code
8RESDSQL-3B + NatSQL79.9NoRESDSQL: Decoupling Schema Linking and Skeleton ...2023-02-12Code
9T5-3B+NatSQL+Token Preprocessing78NoImproving Generalization in Language Model-Based...2023-05-27Code
10Graphix-3B+PICARD77.6NoGraphix-T5: Mixing Pre-Trained Transformers with...2023-01-18Code
11T5-SR75.2NoT5-SR: A Unified Seq-to-Seq Decoding Strategy fo...2023-06-14Code
12T5-3B + PICARD75.1NoPICARD: Parsing Incrementally for Constrained Au...2021-09-10Code