{"total":16,"rows":[{"id":"2106.11455","title":"KaggleDBQA: Realistic Evaluation of Text-to-SQL Parsers","created":"2021-06-22","cited_by_count":106,"area":null},{"id":"2208.10099","title":"Recent Advances in Text-to-SQL: A Survey of What We Have and What We Expect","created":"2022-08-22","cited_by_count":47,"area":null},{"id":"2301.07695","title":"EHRSQL: A Practical Text-to-SQL Benchmark for Electronic Health Records","created":"2023-01-16","cited_by_count":45,"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":"2403.15879","title":"TrustSQL: Benchmarking Text-to-SQL Reliability with Penalty-Based Scoring","created":"2024-03-23","cited_by_count":17,"area":null},{"id":"2208.04415","title":"Deep Learning Driven Natural Languages Text to SQL Query Conversion: A Survey","created":"2022-08-08","cited_by_count":11,"area":null},{"id":"2209.08834","title":"NL2INTERFACE: Interactive Visualization Interface Generation from Natural Language Queries","created":"2022-09-19","cited_by_count":8,"area":null},{"id":"2406.10593","title":"QDA-SQL: Questions Enhanced Dialogue Augmentation for Multi-Turn Text-to-SQL","created":"2024-06-15","cited_by_count":5,"area":null},{"id":"2405.01588","title":"Towards Unbiased Evaluation of Detecting Unanswerable Questions in EHRSQL","created":"2024-04-29","cited_by_count":3,"area":null},{"id":"2412.17867","title":"Evaluating and Enhancing LLMs for Multi-turn Text-to-SQL with Multiple Question Types","created":"2024-12-21","cited_by_count":3,"area":null},{"id":"2508.14056","title":"Confidence Estimation for Text-to-SQL in Large Language Models","created":"2025-08-08","cited_by_count":3,"area":null},{"id":"2601.10398","title":"LatentRefusal: Latent-Signal Refusal for Unanswerable Text-to-SQL Queries","created":"2026-01-15","cited_by_count":3,"area":null},{"id":"2511.17559","title":"SCARE: A Benchmark for SQL Correction and Question Answerability Classification for Reliable EHR Question Answering","created":"2025-11-13","cited_by_count":0,"area":null},{"id":"2512.21345","title":"Query Carefully: Detecting the Unanswerables in Text-to-SQL Tasks","created":"2025-12-19","cited_by_count":0,"area":null},{"id":"2603.23375","title":"Natural Language Interfaces for Spatial and Temporal Databases: A Comprehensive Overview of Methods, Taxonomy, and Future Directions","created":"2026-03-24","cited_by_count":0,"area":null},{"id":"2608.24145","title":"TrustDABench: Benchmarking Reliability and Robustness of LLMs for Structured Data Analysis","created":"2026-08-25","cited_by_count":0,"area":null}],"next_cursor":null}