| Graphix-T5: Mixing Pre-Trained Transformers with Graph-Aware Layers for Text-to-SQL Parsing | Jan 18, 2023 | Domain GeneralizationInductive Bias | CodeCode Available | 0 |
| Proton: Probing Schema Linking Information from Pre-trained Language Models for Text-to-SQL Parsing | Jun 28, 2022 | SQL ParsingText to SQL | CodeCode Available | 0 |
| Improving Text-to-SQL Evaluation Methodology | Jun 23, 2018 | SQL ParsingText to SQL | CodeCode Available | 0 |
| SynTQA: Synergistic Table-based Question Answering via Mixture of Text-to-SQL and E2E TQA | Sep 25, 2024 | Answer SelectionQuestion Answering | CodeCode Available | 0 |
| KaggleDBQA: Realistic Evaluation of Text-to-SQL Parsers | Jun 22, 2021 | Question AnsweringSQL Parsing | CodeCode Available | 0 |
| Representing Schema Structure with Graph Neural Networks for Text-to-SQL Parsing | May 15, 2019 | DecoderGraph Neural Network | CodeCode Available | 0 |
| Semantic Decomposition of Question and SQL for Text-to-SQL Parsing | Oct 20, 2023 | RetrievalSemantic Parsing | CodeCode Available | 0 |
| Data Augmentation with Hierarchical SQL-to-Question Generation for Cross-domain Text-to-SQL Parsing | Mar 3, 2021 | Data AugmentationQuestion Generation | CodeCode Available | 0 |
| STAR: SQL Guided Pre-Training for Context-dependent Text-to-SQL Parsing | Oct 21, 2022 | Contrastive LearningSQL Parsing | CodeCode Available | 0 |
| A Tale of Two Linkings: Dynamically Gating between Schema Linking and Structural Linking for Text-to-SQL Parsing | Sep 30, 2020 | Graph Neural NetworkSemantic Parsing | CodeCode Available | 0 |
