{"total":22,"rows":[{"id":"2304.11015","title":"DIN-SQL: Decomposed In-Context Learning of Text-to-SQL with Self-Correction","created":"2023-04-21","cited_by_count":477,"area":null},{"id":"2402.16347","title":"CodeS: Towards Building Open-source Language Models for Text-to-SQL","created":"2024-02-26","cited_by_count":187,"area":null},{"id":"2503.02240","title":"OmniSQL: Synthesizing High-quality Text-to-SQL Data at Scale","created":"2025-03-04","cited_by_count":91,"area":null},{"id":"2408.05109","title":"A Survey of Text-to-SQL in the Era of LLMs: Where are we, and where are we going?","created":"2024-08-09","cited_by_count":56,"area":null},{"id":"2310.06302","title":"Selective Demonstrations for Cross-domain Text-to-SQL","created":"2023-10-10","cited_by_count":21,"area":null},{"id":"2305.07372","title":"Interactive Text-to-SQL Generation via Editable Step-by-Step Explanations","created":"2023-05-12","cited_by_count":19,"area":null},{"id":"2410.11076","title":"PRACTIQ: A Practical Conversational Text-to-SQL dataset with Ambiguous and Unanswerable Queries","created":"2024-10-14","cited_by_count":19,"area":null},{"id":"2402.08349","title":"Evaluating the Data Model Robustness of Text-to-SQL Systems Based on Real User Queries","created":"2024-02-13","cited_by_count":12,"area":null},{"id":"2409.12172","title":"You Only Read Once (YORO): Learning to Internalize Database Knowledge for Text-to-SQL","created":"2024-09-18","cited_by_count":11,"area":null},{"id":"2404.14453","title":"EPI-SQL: Enhancing Text-to-SQL Translation with Error-Prevention Instructions","created":"2024-04-21","cited_by_count":8,"area":null},{"id":"2402.08666","title":"Improving Generalization in Semantic Parsing by Increasing Natural Language Variation","created":"2024-02-13","cited_by_count":4,"area":null},{"id":"2502.11438","title":"SAFE-SQL: Self-Augmented In-Context Learning with Fine-grained Example Selection for Text-to-SQL","created":"2025-02-17","cited_by_count":4,"area":null},{"id":"2508.06387","title":"End-to-End Text-to-SQL with Dataset Selection: Leveraging LLMs for Adaptive Query Generation","created":"2025-08-08","cited_by_count":2,"area":null},{"id":"2601.06564","title":"CSR-RAG: An Efficient Retrieval System for Text-to-SQL on the Enterprise Scale","created":"2026-01-10","cited_by_count":2,"area":null},{"id":"2407.15071","title":"Relational Database Augmented Large Language Model","created":"2024-07-21","cited_by_count":1,"area":null},{"id":"2504.04363","title":"REFORMER: A ChatGPT-Driven Data Synthesis Framework Elevating Text-to-SQL Models","created":"2025-04-06","cited_by_count":1,"area":null},{"id":"2508.07087","title":"SQL-Exchange: Transforming SQL Queries Across Domains","created":"2025-08-09","cited_by_count":1,"area":null},{"id":"2312.12414","title":"Translating Natural Language Queries to SQL Using the T5 Model","created":"2023-12-12","cited_by_count":0,"area":null},{"id":"2505.21575","title":"StreamLink: Large-Language-Model Driven Distributed Data Engineering System","created":"2025-05-27","cited_by_count":0,"area":null},{"id":"2511.18934","title":"Skeletons Matter: Dynamic Data Augmentation for Text-to-Query","created":"2025-11-24","cited_by_count":0,"area":null},{"id":"2512.22744","title":"Bridging Global Intent with Local Details: A Hierarchical Representation Approach for Semantic Validation in Text-to-SQL","created":"2025-12-28","cited_by_count":0,"area":null},{"id":"2610.03625","title":"FALCON: A Model and Dataset Agnostic Framework for Synthetic Data Generation for NL2SQL Pairs","created":"2026-10-02","cited_by_count":0,"area":null}],"next_cursor":null}