| A Preview of XiYan-SQL: A Multi-Generator Ensemble Framework for Text-to-SQL | ✓ Link | 89.65 | | | | XiYan-SQL | 2024-11-13 |
| PET-SQL: A Prompt-Enhanced Two-Round Refinement of Text-to-SQL with Cross-consistency | ✓ Link | 87.6 | 66.6 | | | PET-SQL | 2024-03-13 |
| Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation | ✓ Link | 86.6 | | 84.4 | 74.4 | DAIL-SQL + GPT-4 + Self-Consistency | 2023-08-29 |
| DIN-SQL: Decomposed In-Context Learning of Text-to-SQL with Self-Correction | ✓ Link | 85.3 | 60 | | | DIN-SQL + GPT-4 | 2023-04-21 |
| MSc-SQL: Multi-Sample Critiquing Small Language Models For Text-To-SQL Translation | ✓ Link | 84.7 | | | | MSc-SQL | 2024-10-16 |
| Learning Metadata-Agnostic Representations for Text-to-SQL In-Context Example Selection | | 84.0 | | 83.6 | | MARLO + Claude 2.1 | 2024-10-17 |
| C3: Zero-shot Text-to-SQL with ChatGPT | ✓ Link | 82.3 | | 81.8 | | C3 + ChatGPT + Zero-Shot | 2023-07-14 |
| RESDSQL: Decoupling Schema Linking and Skeleton Parsing for Text-to-SQL | ✓ Link | 79.9 | 72.0 | 84.1 | 80.5 | RESDSQL-3B + NatSQL | 2023-02-12 |
| Improving Generalization in Language Model-Based Text-to-SQL Semantic Parsing: Two Simple Semantic Boundary-Based Techniques | ✓ Link | 78 | | 73.7 | 69.4 | T5-3B+NatSQL+Token Preprocessing | 2023-05-27 |
| Graphix-T5: Mixing Pre-Trained Transformers with Graph-Aware Layers for Text-to-SQL Parsing | ✓ Link | 77.6 | | 81.0 | 77.1 | Graphix-3B+PICARD | 2023-01-18 |
| T5-SR: A Unified Seq-to-Seq Decoding Strategy for Semantic Parsing | ✓ Link | 75.2 | 72.4 | | 77.2 | T5-SR | 2023-06-14 |
| PICARD: Parsing Incrementally for Constrained Auto-Regressive Decoding from Language Models | ✓ Link | 75.1 | 71.9 | | 75.5 | T5-3B + PICARD | 2021-09-10 |
| SADGA: Structure-Aware Dual Graph Aggregation Network for Text-to-SQL | ✓ Link | | 70.1 | | 73.1 | SADGA + GAP | 2021-11-01 |
| RYANSQL: Recursively Applying Sketch-based Slot Fillings for Complex Text-to-SQL in Cross-Domain Databases | ✓ Link | | 58.2 | | 66.6 | RYANSQL (BERT) | 2020-04-07 |
| DataGpt-SQL-7B: An Open-Source Language Model for Text-to-SQL | | | | 87.2 | 81.6 | datagpt-sql-7B + InvalidSQL-Feedback | 2024-09-24 |
| DataGpt-SQL-7B: An Open-Source Language Model for Text-to-SQL | | | | 84.8 | 80.3 | datagpt-sql-7B | 2024-09-24 |
| LEVER: Learning to Verify Language-to-Code Generation with Execution | ✓ Link | | | 81.9 | | code-davinci-002 175B (LEVER) | 2023-02-16 |
| Knowledge-to-SQL: Enhancing SQL Generation with Data Expert LLM | ✓ Link | | | 71.68 | | DELLM + GPT-4 | 2024-02-18 |
| Learning Contextual Representations for Semantic Parsing with Generation-Augmented Pre-Training | ✓ Link | | | | 71.8 | RATSQL + GAP | 2020-12-18 |
| TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data | ✓ Link | | | | 64.5 | MAPO + TABERTLarge (K = 3) | 2020-05-17 |