mlsanityData to 14 Oct 2026

SQL-to-Text Generation with Graph-to-Sequence Model

arXiv 1809.05255 ↗First posted 14 Sep 2018cs.CL cs.LGcited by 31

Not on the map. Why?

Abstract (arXiv)

Previous work approaches the SQL-to-text generation task using vanilla Seq2Seq models, which may not fully capture the inherent graph-structured information in SQL query. In this paper, we first introduce a strategy to represent the SQL query as a directed graph and then employ a graph-to-sequence model to encode the global structure information into node embeddings. This model can effectively learn the correlation between the SQL query pattern and its interpretation. Experimental results on the WikiSQL dataset and Stackoverflow dataset show that our model significantly outperforms the Seq2Seq and Tree2Seq baselines, achieving the state-of-the-art performance.

Key facts. Cited by 31 papers in the map (data through 14 Oct 2026). First posted on arXiv 14 Sep 2018.

Builds on

No reference list yet.

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2020: 1; 2021: 7; 2022: 1; 2023: 4; 2024: 10; 2025: 6; 2026: 2.

31 papers.

Sort:

By area:

  1. 2023Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluationcited by 385
  2. 2020Retrieval-Augmented Generation for Code Summarization via Hybrid GNNcited by 89
  3. 2021Permutation invariant graph-to-sequence model for template-free retrosynthesis and reaction predictioncited by 68
  4. 2024SQLBench: A Comprehensive Evaluation for Text-to-SQL Capabilities of Large Language Modelscited by 32
  5. 2021Structural Information Preserving for Graph-to-Text Generationcited by 24
  6. 2021Logic-Consistency Text Generation from Semantic Parsescited by 23
  7. 2024Text Generation: A Systematic Literature Review of Tasks, Evaluation, and Challengescited by 18
  8. 2024Metasql: A Generate-then-Rank Framework for Natural Language to SQL Translationcited by 17
  9. 2024Equipping Language Models with Tool Use Capability for Tabular Data Analysis in Financecited by 14
  10. 2021Impact of Evaluation Methodologies on Code Summarizationcited by 11
  11. 2024SQLucid: Grounding Natural Language Database Queries with Interactive Explanationscited by 10
  12. 2024Hybrid LLM/Rule-based Approaches to Business Insights Generation from Structured Datacited by 7
19 more
  1. 2025Text-to-SQL Domain Adaptation via Human-LLM Collaborative Data Annotationcited by 6
  2. 2024Open-SQL Framework: Enhancing Text-to-SQL on Open-source Large Language Modelscited by 5
  3. 2023Planning with Logical Graph-based Language Model for Instruction Generationcited by 4
  4. 2024A Systematic Review of Data-to-Text NLGcited by 4
  5. 2021Improving Logical-Level Natural Language Generation with Topic-Conditioned Data Augmentation and Logical Form Generationcited by 3
  6. 2024KU-DMIS at EHRSQL 2024:Generating SQL query via question templatization in EHRcited by 3
  7. 2025MultiTEND: A Multilingual Benchmark for Natural Language to NoSQL Query Translationcited by 3
  8. 2025BenchPress: A Human-in-the-Loop Annotation System for Rapid Text-to-SQL Benchmark Curationcited by 3
  9. 2021How to Train Your Agent to Read and Writecited by 2
  10. 2025Evaluating NL2SQL via SQL2NLcited by 2
  11. 2021Turing: an Accurate and Interpretable Multi-Hypothesis Cross-Domain Natural Language Database Interfacecited by 1
  12. 2023Reranking for Natural Language Generation from Logical Forms: A Study based on Large Language Modelscited by 1
  13. 2025Semantic Captioning: Benchmark Dataset and Graph-Aware Few-Shot In-Context Learning for SQL2Textcited by 1
  14. 2022IFDID: Information Filter upon Diversity-Improved Decoding for Diversity-Faithfulness Tradeoff in NLGcited by 0
  15. 2023A Graph-to-Text Approach to Knowledge-Grounded Response Generation in Human-Robot Interactioncited by 0
  16. 2024EzSQL: An SQL intermediate representation for improving SQL-to-text Generationcited by 0
  17. 2025Harnessing Temporal Databases for Systematic Evaluation of Factual Time-Sensitive Question-Answering in Large Language Modelscited by 0
  18. 2026SPARTA: Scalable and Principled Benchmark of Tree-Structured Multi-hop QA over Text and Tablescited by 0
  19. 2026Knowledge Distillation for Low-Resource Open-source Text-to-SQL Modelcited by 0