{"total":74,"rows":[{"id":"2302.05965","title":"RESDSQL: Decoupling Schema Linking and Skeleton Parsing for Text-to-SQL","created":"2023-02-12","cited_by_count":195,"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":"2106.01065","title":"Towards Robustness of Text-to-SQL Models against Synonym Substitution","created":"2021-06-02","cited_by_count":110,"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":"2106.06600","title":"Break-It-Fix-It: Unsupervised Learning for Program Repair","created":"2021-06-11","cited_by_count":71,"area":null},{"id":"2109.05153","title":"Natural SQL: Making SQL Easier to Infer from Natural Language Specifications","created":"2021-09-11","cited_by_count":68,"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":"2502.14913","title":"OpenSearch-SQL: Enhancing Text-to-SQL with Dynamic Few-shot and Consistency Alignment","created":"2025-02-19","cited_by_count":53,"area":null},{"id":"2208.13629","title":"A Survey on Text-to-SQL Parsing: Concepts, Methods, and Future Directions","created":"2022-08-29","cited_by_count":52,"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":"2104.05827","title":"Learning to Synthesize Data for Semantic Parsing","created":"2021-04-12","cited_by_count":41,"area":null},{"id":"2401.10506","title":"FinSQL: Model-Agnostic LLMs-based Text-to-SQL Framework for Financial Analysis","created":"2024-01-19","cited_by_count":36,"area":null},{"id":"2103.02227","title":"Data Augmentation with Hierarchical SQL-to-Question Generation for Cross-domain Text-to-SQL Parsing","created":"2021-03-03","cited_by_count":33,"area":null},{"id":"2103.14540","title":"NL-EDIT: Correcting semantic parse errors through natural language interaction","created":"2021-03-26","cited_by_count":33,"area":null},{"id":"2310.18538","title":"Evaluating Cross-Domain Text-to-SQL Models and Benchmarks","created":"2023-10-27","cited_by_count":32,"area":null},{"id":"2212.08785","title":"Importance of Synthesizing High-quality Data for Text-to-SQL Parsing","created":"2022-12-17","cited_by_count":28,"area":null},{"id":"2310.17894","title":"Natural Language Interfaces for Tabular Data Querying and Visualization: A Survey","created":"2023-10-27","cited_by_count":27,"area":null},{"id":"2203.07376","title":"HIE-SQL: History Information Enhanced Network for Context-Dependent Text-to-SQL Semantic Parsing","created":"2022-03-14","cited_by_count":26,"area":null},{"id":"2108.02866","title":"Dual Reader-Parser on Hybrid Textual and Tabular Evidence for Open Domain Question Answering","created":"2021-08-05","cited_by_count":25,"area":null},{"id":"2305.17378","title":"Improving Generalization in Language Model-Based Text-to-SQL Semantic Parsing: Two Simple Semantic Boundary-Based Techniques","created":"2023-05-27","cited_by_count":24,"area":null},{"id":"2401.00288","title":"Deep Learning for Code Intelligence: Survey, Benchmark and Toolkit","created":"2023-12-30","cited_by_count":22,"area":null},{"id":"2407.09522","title":"UQE: A Query Engine for Unstructured Databases","created":"2024-06-23","cited_by_count":21,"area":null},{"id":"2501.10858","title":"Reliable Text-to-SQL with Adaptive Abstention","created":"2025-01-18","cited_by_count":20,"area":null},{"id":"2111.00732","title":"Outlining and Filling: Hierarchical Query Graph Generation for Answering Complex Questions over Knowledge Graphs","created":"2021-11-01","cited_by_count":16,"area":null},{"id":"2205.02054","title":"Measuring and Improving Compositional Generalization in Text-to-SQL via Component Alignment","created":"2022-05-04","cited_by_count":16,"area":null},{"id":"2509.23988","title":"LLM/Agent-as-Data-Analyst: A Survey","created":"2025-09-28","cited_by_count":16,"area":"agents"},{"id":"2101.01686","title":"Dynamic Hybrid Relation Network for Cross-Domain Context-Dependent Semantic Parsing","created":"2021-01-05","cited_by_count":15,"area":null},{"id":"2110.03546","title":"mRAT-SQL+GAP:A Portuguese Text-to-SQL Transformer","created":"2021-10-07","cited_by_count":15,"area":null},{"id":"2310.13575","title":"Semantic Decomposition of Question and SQL for Text-to-SQL Parsing","created":"2023-10-20","cited_by_count":14,"area":null},{"id":"2501.09310","title":"Understanding, Detecting, and Repairing Real-World In-Context-Learning-Based Text-to-SQL Errors","created":"2025-01-16","cited_by_count":14,"area":null},{"id":"2305.13917","title":"Generating Data for Symbolic Language with Large Language Models","created":"2023-05-23","cited_by_count":12,"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":"2511.10192","title":"Text2SQL-Flow: A Robust SQL-Aware Data Augmentation Framework for Text-to-SQL","created":"2025-11-13","cited_by_count":11,"area":null},{"id":"2210.12096","title":"Augmenting Multi-Turn Text-to-SQL Datasets with Self-Play","created":"2022-10-21","cited_by_count":9,"area":null},{"id":"2502.10739","title":"BASE-SQL: A powerful open source Text-To-SQL baseline approach","created":"2025-02-15","cited_by_count":9,"area":null},{"id":"2210.12674","title":"Towards Generalizable and Robust Text-to-SQL Parsing","created":"2022-10-23","cited_by_count":7,"area":null},{"id":"2406.12104","title":"End-to-end Text-to-SQL Generation within an Analytics Insight Engine","created":"2024-06-17","cited_by_count":7,"area":null},{"id":"2110.07358","title":"Memory-Based Semantic Parsing","created":"2021-09-07","cited_by_count":6,"area":null},{"id":"2201.01209","title":"Speech-to-SQL: Towards Speech-driven SQL Query Generation From Natural Language Question","created":"2022-01-04","cited_by_count":6,"area":null},{"id":"2401.02034","title":"Text2MDT: Extracting Medical Decision Trees from Medical Texts","created":"2024-01-04","cited_by_count":6,"area":null},{"id":"2401.15463","title":"DataFrame QA: A Universal LLM Framework on DataFrame Question Answering Without Data Exposure","created":"2024-01-27","cited_by_count":6,"area":null},{"id":"2502.15980","title":"Text-to-SQL Domain Adaptation via Human-LLM Collaborative Data Annotation","created":"2025-02-21","cited_by_count":6,"area":null},{"id":"2101.09901","title":"GP: Context-free Grammar Pre-training for Text-to-SQL Parsers","created":"2021-01-25","cited_by_count":5,"area":null},{"id":"2112.08735","title":"Pay More Attention to History: A Context Modelling Strategy for Conversational Text-to-SQL","created":"2021-12-16","cited_by_count":5,"area":null},{"id":"2511.08274","title":"Multi-Agent GraphRAG: A Text-to-Cypher Framework for Labeled Property Graphs","created":"2025-11-11","cited_by_count":5,"area":"rag"},{"id":"2505.19956","title":"DCG-SQL: Enhancing In-Context Learning for Text-to-SQL with Deep Contextual Schema Link Graph","created":"2025-05-26","cited_by_count":4,"area":null},{"id":"2101.04226","title":"DBTagger: Multi-Task Learning for Keyword Mapping in NLIDBs Using Bi-Directional Recurrent Neural Networks","created":"2021-01-11","cited_by_count":3,"area":null},{"id":"2109.05395","title":"Leveraging Table Content for Zero-shot Text-to-SQL with Meta-Learning","created":"2021-09-12","cited_by_count":3,"area":null},{"id":"2211.15363","title":"On the Security Vulnerabilities of Text-to-SQL Models","created":"2022-11-28","cited_by_count":3,"area":null},{"id":"2404.02933","title":"NL2KQL: From Natural Language to Kusto Query","created":"2024-04-03","cited_by_count":3,"area":null},{"id":"2503.13342","title":"Valid Text-to-SQL Generation with Unification-based DeepStochLog","created":"2025-03-17","cited_by_count":3,"area":null},{"id":"2306.08368","title":"T5-SR: A Unified Seq-to-Seq Decoding Strategy for Semantic Parsing","created":"2023-06-14","cited_by_count":2,"area":null},{"id":"2310.18662","title":"ASTormer: An AST Structure-aware Transformer Decoder for Text-to-SQL","created":"2023-10-28","cited_by_count":2,"area":null},{"id":"2412.05850","title":"Cooperative SQL Generation for Segmented Databases By Using Multi-functional LLM Agents","created":"2024-12-08","cited_by_count":2,"area":"agents"},{"id":"2511.02002","title":"InteracSPARQL: An Interactive System for SPARQL Query Refinement Using Natural Language Explanations","created":"2025-11-03","cited_by_count":2,"area":null},{"id":"2603.07841","title":"An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data","created":"2026-03-08","cited_by_count":2,"area":null},{"id":"2106.09588","title":"End-to-End Cross-Domain Text-to-SQL Semantic Parsing with Auxiliary Task","created":"2021-06-17","cited_by_count":1,"area":null},{"id":"2210.03768","title":"xDBTagger: Explainable Natural Language Interface to Databases Using Keyword Mappings and Schema Graph","created":"2022-10-07","cited_by_count":1,"area":null},{"id":"2304.13902","title":"Controllable Data Augmentation for Context-Dependent Text-to-SQL","created":"2023-04-27","cited_by_count":1,"area":null},{"id":"2312.06172","title":"Decoupling SQL Query Hardness Parsing for Text-to-SQL","created":"2023-12-11","cited_by_count":1,"area":null},{"id":"2312.14798","title":"Semantic Parsing for Complex Data Retrieval: Targeting Query Plans vs. SQL for No-Code Access to Relational Databases","created":"2023-12-22","cited_by_count":1,"area":null},{"id":"2512.16083","title":"Scaling Text2SQL via LLM-efficient Schema Filtering with Functional Dependency Graph Rerankers","created":"2025-12-18","cited_by_count":1,"area":null},{"id":"2606.12387","title":"TAHOE: Text-to-SQL with Automated Hint Optimization from Experience","created":"2026-06-10","cited_by_count":1,"area":null},{"id":"2103.06402","title":"Self-supervised Text-to-SQL Learning with Header Alignment Training","created":"2021-03-11","cited_by_count":0,"area":null},{"id":"2411.18923","title":"EzSQL: An SQL intermediate representation for improving SQL-to-text Generation","created":"2024-11-28","cited_by_count":0,"area":null},{"id":"2504.08753","title":"Domain Specific Question to SQL Conversion with Embedded Data Balancing Technique","created":"2025-03-28","cited_by_count":0,"area":null},{"id":"2505.00060","title":"Fact-Consistency Evaluation of Text-to-SQL Generation for Business Intelligence Using Exaone 3.5","created":"2025-04-30","cited_by_count":0,"area":null},{"id":"2508.17157","title":"SPORTSQL: An Interactive System for Real-Time Sports Reasoning and Visualization","created":"2025-08-23","cited_by_count":0,"area":"lr"},{"id":"2512.18622","title":"A Multi-agent Text2SQL Framework using Small Language Models and Execution Feedback","created":"2025-12-21","cited_by_count":0,"area":"agents"},{"id":"2601.05451","title":"RingSQL: Schema-Independent Synthetic Data Generation for Text-to-SQL Reinforcement Learning","created":"2026-01-09","cited_by_count":0,"area":"lr"},{"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":"2605.03465","title":"FINER-SQL: Boosting Small Language Models for Text-to-SQL","created":"2026-05-05","cited_by_count":0,"area":null},{"id":"2605.22843","title":"Knowledge Distillation for Low-Resource Open-source Text-to-SQL Model","created":"2026-05-13","cited_by_count":0,"area":"distill"},{"id":"2607.22624","title":"CHS-SQL: A Text-to-SQL approach based on Confidence-Guided Heuristic Search Schema Linking process","created":"2026-06-17","cited_by_count":0,"area":null}],"next_cursor":null}