{"total":138,"rows":[{"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":"2503.23157","title":"Reasoning-SQL: Reinforcement Learning with SQL Tailored Partial Rewards for Reasoning-Enhanced Text-to-SQL","created":"2025-03-29","cited_by_count":59,"area":"lr"},{"id":"2410.12189","title":"DocETL: Agentic Query Rewriting and Evaluation for Complex Document Processing","created":"2024-10-16","cited_by_count":52,"area":"agents"},{"id":"2411.00073","title":"RSL-SQL: Robust Schema Linking in Text-to-SQL Generation","created":"2024-10-31","cited_by_count":52,"area":null},{"id":"2507.04701","title":"XiYan-SQL: A Novel Multi-Generator Framework For Text-to-SQL","created":"2025-07-07","cited_by_count":40,"area":null},{"id":"2502.00675","title":"ReFoRCE: A Text-to-SQL Agent with Self-Refinement, Consensus Enforcement, and Column Exploration","created":"2025-02-02","cited_by_count":37,"area":"agents"},{"id":"2501.12372","title":"Is Long Context All You Need? Leveraging LLM's Extended Context for NL2SQL","created":"2025-01-21","cited_by_count":30,"area":null},{"id":"2510.23587","title":"A Survey of Data Agents: Emerging Paradigm or Overstated Hype?","created":"2025-10-27","cited_by_count":30,"area":"agents"},{"id":"2503.18596","title":"LinkAlign: Scalable Schema Linking for Real-World Large-Scale Multi-Database Text-to-SQL","created":"2025-03-24","cited_by_count":29,"area":null},{"id":"2505.04671","title":"Reward-SQL: Boosting Text-to-SQL via Stepwise Execution-Aware Reasoning and Process-Supervised Rewards","created":"2025-05-07","cited_by_count":27,"area":"lr"},{"id":"2503.19988","title":"ExCoT: Optimizing Reasoning for Text-to-SQL with Execution Feedback","created":"2025-03-25","cited_by_count":24,"area":"lr"},{"id":"2502.00330","title":"From Few to Many: Self-Improving Many-Shot Reasoners Through Iterative Optimization and Generation","created":"2025-02-01","cited_by_count":21,"area":"lr"},{"id":"2501.10858","title":"Reliable Text-to-SQL with Adaptive Abstention","created":"2025-01-18","cited_by_count":20,"area":null},{"id":"2502.11741","title":"SQL-o1: A Self-Reward Heuristic Dynamic Search Method for Text-to-SQL","created":"2025-02-17","cited_by_count":19,"area":"synth"},{"id":"2510.05318","title":"BIRD-INTERACT: Re-imagining Text-to-SQL Evaluation for Large Language Models via Lens of Dynamic Interactions","created":"2025-10-06","cited_by_count":19,"area":null},{"id":"2511.17190","title":"AutoLink: Autonomous Schema Exploration and Expansion for Scalable Schema Linking in Text-to-SQL at Scale","created":"2025-11-21","cited_by_count":17,"area":null},{"id":"2506.00391","title":"SHARE: An SLM-based Hierarchical Action CorREction Assistant for Text-to-SQL","created":"2025-05-31","cited_by_count":16,"area":"lr"},{"id":"2506.18951","title":"SWE-SQL: Illuminating LLM Pathways to Solve User SQL Issues in Real-World Applications","created":"2025-06-23","cited_by_count":16,"area":null},{"id":"2505.13271","title":"CSC-SQL: Corrective Self-Consistency in Text-to-SQL via Reinforcement Learning","created":"2025-05-19","cited_by_count":15,"area":"lr"},{"id":"2511.01008","title":"MARS-SQL: A multi-agent reinforcement learning framework for Text-to-SQL","created":"2025-11-02","cited_by_count":15,"area":"agents"},{"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":"2412.10138","title":"ROUTE: Robust Multitask Tuning and Collaboration for Text-to-SQL","created":"2024-12-13","cited_by_count":13,"area":null},{"id":"2503.22402","title":"EllieSQL: Cost-Efficient Text-to-SQL with Complexity-Aware Routing","created":"2025-03-28","cited_by_count":13,"area":null},{"id":"2506.04494","title":"SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL","created":"2025-06-04","cited_by_count":12,"area":null},{"id":"2505.13725","title":"SQLForge: Synthesizing Reliable and Diverse Data to Enhance Text-to-SQL Reasoning in LLMs","created":"2025-05-19","cited_by_count":11,"area":"lr"},{"id":"2507.22478","title":"SLM-SQL: An Exploration of Small Language Models for Text-to-SQL","created":"2025-07-30","cited_by_count":10,"area":null},{"id":"2509.17680","title":"When TableQA Meets Noise: A Dual Denoising Framework for Complex Questions and Large-scale Tables","created":"2025-09-22","cited_by_count":10,"area":null},{"id":"2510.25510","title":"MTIR-SQL: Multi-turn Tool-Integrated Reasoning Reinforcement Learning for Text-to-SQL","created":"2025-10-29","cited_by_count":10,"area":"lr"},{"id":"2511.21402","title":"Text-to-SQL as Dual-State Reasoning: Integrating Adaptive Context and Progressive Generation","created":"2025-11-26","cited_by_count":10,"area":"lr"},{"id":"2412.10434","title":"NAT-NL2GQL: A Novel Multi-Agent Framework for Translating Natural Language to Graph Query Language","created":"2024-12-11","cited_by_count":9,"area":"agents"},{"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":"2502.11656","title":"Uncovering the Impact of Chain-of-Thought Reasoning for Direct Preference Optimization: Lessons from Text-to-SQL","created":"2025-02-17","cited_by_count":9,"area":"lr"},{"id":"2502.12911","title":"Knapsack Optimization-based Schema Linking for LLM-based Text-to-SQL Generation","created":"2025-02-18","cited_by_count":9,"area":null},{"id":"2509.02896","title":"Cut Costs, Not Accuracy: LLM-Powered Data Processing with Guarantees","created":"2025-09-02","cited_by_count":9,"area":null},{"id":"2505.12768","title":"ReEx-SQL: Reasoning with Execution-Aware Reinforcement Learning for Text-to-SQL","created":"2025-05-19","cited_by_count":8,"area":"lr"},{"id":"2505.12380","title":"Graph-Reward-SQL: Execution-Free Reinforcement Learning for Text-to-SQL via Graph Matching and Stepwise Reward","created":"2025-05-18","cited_by_count":7,"area":"alignment"},{"id":"2601.17699","title":"SQL-Trail: Multi-Turn Reinforcement Learning with Interleaved Feedback for Text-to-SQL","created":"2026-01-25","cited_by_count":7,"area":"lr"},{"id":"2602.13521","title":"Arming Data Agents with Tribal Knowledge","created":"2026-02-13","cited_by_count":7,"area":"agents"},{"id":"2605.18775","title":"Query-Aware Flow Diffusion for Graph-Based RAG with Retrieval Guarantees","created":"2026-04-21","cited_by_count":7,"area":"lr"},{"id":"2509.00581","title":"SQL-of-Thought: Multi-agentic Text-to-SQL with Guided Error Correction","created":"2025-08-30","cited_by_count":6,"area":"agents"},{"id":"2509.21825","title":"DS-STAR: Data Science Agent for Solving Diverse Tasks across Heterogeneous Formats and Open-Ended Queries","created":"2025-09-26","cited_by_count":6,"area":"agents"},{"id":"2508.08730","title":"Magical: Medical Lay Language Generation via Semantic Invariance and Layperson-tailored Adaptation","created":"2025-08-12","cited_by_count":5,"area":null},{"id":"2509.03937","title":"SPFT-SQL: Enhancing Large Language Model for Text-to-SQL Parsing by Self-Play Fine-Tuning","created":"2025-09-04","cited_by_count":5,"area":"synth"},{"id":"2509.25672","title":"SING-SQL: A Synthetic Data Generation Framework for In-Domain Text-to-SQL Translation","created":"2025-09-30","cited_by_count":5,"area":"synth"},{"id":"2510.12831","title":"MTSQL-R1: Towards Long-Horizon Multi-Turn Text-to-SQL via Agentic Training","created":"2025-10-12","cited_by_count":5,"area":"agents"},{"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":"2604.17653","title":"PV-SQL: Synergizing Database Probing and Rule-based Verification for Text-to-SQL Agents","created":"2026-04-19","cited_by_count":5,"area":null},{"id":"2501.16607","title":"MCTS-SQL: Light-Weight LLMs can Master the Text-to-SQL through Monte Carlo Tree Search","created":"2025-01-28","cited_by_count":4,"area":null},{"id":"2504.01931","title":"On the Role of Feedback in Test-Time Scaling of Agentic AI Workflows","created":"2025-04-02","cited_by_count":4,"area":"lr"},{"id":"2504.12734","title":"Pandora: A Code-Driven Large Language Model Agent for Unified Reasoning Across Diverse Structured Knowledge","created":"2025-04-17","cited_by_count":4,"area":"lr"},{"id":"2505.23838","title":"Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities","created":"2025-05-28","cited_by_count":4,"area":null},{"id":"2506.01273","title":"RAISE: Reasoning Agent for Interactive SQL Exploration","created":"2025-06-02","cited_by_count":4,"area":"lr"},{"id":"2506.07423","title":"SEED: Enhancing Text-to-SQL Performance and Practical Usability Through Automatic Evidence Generation","created":"2025-06-09","cited_by_count":4,"area":null},{"id":"2510.14296","title":"Rethinking Schema Linking: A Context-Aware Bidirectional Retrieval Approach for Text-to-SQL","created":"2025-10-16","cited_by_count":4,"area":null},{"id":"2511.06778","title":"SAFENLIDB: A Privacy-Preserving Safety Alignment Framework for LLM-based Natural Language Database Interfaces","created":"2025-11-10","cited_by_count":4,"area":"alignment"},{"id":"2601.10011","title":"Memo-SQL: Structured Decomposition and Experience-Driven Self-Correction for Training-Free NL2SQL","created":"2026-01-15","cited_by_count":4,"area":"lr"},{"id":"2605.02815","title":"FlexSQL: Flexible Exploration and Execution Make Better Text-to-SQL Agents","created":"2026-05-04","cited_by_count":4,"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":"2506.00912","title":"Pi-SQL: Enhancing Text-to-SQL with Fine-Grained Guidance from Pivot Programming Languages","created":"2025-06-01","cited_by_count":3,"area":null},{"id":"2510.23870","title":"OraPlan-SQL: A Planning-Centric Framework for Complex Bilingual NL2SQL Reasoning","created":"2025-10-27","cited_by_count":3,"area":"lr"},{"id":"2601.01126","title":"RoboPhD: Self-Improving Text-to-SQL Through Autonomous Agent Evolution","created":"2026-01-03","cited_by_count":3,"area":null},{"id":"2502.06759","title":"Rationalization Models for Text-to-SQL","created":"2025-02-10","cited_by_count":2,"area":"lr"},{"id":"2503.17811","title":"Feather-SQL: A Lightweight NL2SQL Framework with Dual-Model Collaboration Paradigm for Small Language Models","created":"2025-03-22","cited_by_count":2,"area":null},{"id":"2506.07245","title":"SDE-SQL: Enhancing Text-to-SQL Generation in Large Language Models via Self-Driven Exploration with SQL Probes","created":"2025-06-08","cited_by_count":2,"area":null},{"id":"2509.07159","title":"PaVeRL-SQL: Text-to-SQL via Partial-Match Rewards and Verbal Reinforcement Learning","created":"2025-09-08","cited_by_count":2,"area":"lr"},{"id":"2509.16929","title":"K-DeCore: Facilitating Knowledge Transfer in Continual Structured Knowledge Reasoning via Knowledge Decoupling","created":"2025-09-21","cited_by_count":2,"area":"lr"},{"id":"2510.10661","title":"AGENTIQL: An Agent-Inspired Multi-Expert Framework for Text-to-SQL Generation","created":"2025-10-12","cited_by_count":2,"area":"agents"},{"id":"2511.22258","title":"Beyond Query-Level Comparison: Fine-Grained Reinforcement Learning for Text-to-SQL with Automated Interpretable Critiques","created":"2025-11-27","cited_by_count":2,"area":"lr"},{"id":"2512.22364","title":"Cost Trade-offs of Reasoning and Non-Reasoning Large Language Models in Text-to-SQL","created":"2025-12-26","cited_by_count":2,"area":"lr"},{"id":"2512.23366","title":"AGRO-SQL: Agentic Group-Relative Optimization with High-Fidelity Data Synthesis","created":"2025-12-29","cited_by_count":2,"area":"lr"},{"id":"2603.03742","title":"ErrorLLM: Modeling SQL Errors for Text-to-SQL Refinement","created":"2026-03-04","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":"2605.19010","title":"AgentNLQ: A General-Purpose Agent for Natural Language to SQL","created":"2026-05-18","cited_by_count":2,"area":"agents"},{"id":"2606.28370","title":"Conversational Query Engine for Mixed-Modality Heterogeneous Enterprise Data Sources","created":"2026-06-15","cited_by_count":2,"area":null},{"id":"2502.13016","title":"LLM-Powered Proactive Data Systems","created":"2025-02-18","cited_by_count":1,"area":null},{"id":"2506.20747","title":"Towards Probabilistic Question Answering Over Tabular Data","created":"2025-06-25","cited_by_count":1,"area":null},{"id":"2508.17905","title":"Pandora: Leveraging Code-driven Knowledge Transfer for Unified Structured Knowledge Reasoning","created":"2025-08-25","cited_by_count":1,"area":"lr"},{"id":"2509.12612","title":"GBV-SQL: Guided Generation and SQL2Text Back-Translation Validation for Multi-Agent Text2SQL","created":"2025-09-16","cited_by_count":1,"area":"agents"},{"id":"2509.14507","title":"DeKeyNLU: Enhancing Natural Language to SQL Generation through Task Decomposition and Keyword Extraction","created":"2025-09-18","cited_by_count":1,"area":"rag"},{"id":"2509.21674","title":"QueryGym: Step-by-Step Interaction with Relational Databases","created":"2025-09-25","cited_by_count":1,"area":null},{"id":"2510.08896","title":"HES-SQL: Hybrid Reasoning for Efficient Text-to-SQL with Structural Skeleton Guidance","created":"2025-10-10","cited_by_count":1,"area":"lr"},{"id":"2510.09014","title":"LitE-SQL: A Lightweight and Efficient Text-to-SQL Framework with Vector-based Schema Linking and Execution-Guided Self-Correction","created":"2025-10-10","cited_by_count":1,"area":null},{"id":"2510.24102","title":"Squrve: A Unified and Modular Framework for Complex Real-World Text-to-SQL Tasks","created":"2025-10-28","cited_by_count":1,"area":null},{"id":"2511.00985","title":"ORANGE: An Online Reflection ANd GEneration framework with Domain Knowledge for Text-to-SQL","created":"2025-11-02","cited_by_count":1,"area":null},{"id":"2511.10674","title":"Continual Learning of Domain Knowledge from Human Feedback in Text-to-SQL","created":"2025-11-10","cited_by_count":1,"area":"alignment"},{"id":"2601.04875","title":"EvolSQL: Structure-Aware Evolution for Scalable Text-to-SQL Data Synthesis","created":"2026-01-08","cited_by_count":1,"area":"synth"},{"id":"2603.20004","title":"Human-Level Text-to-SQL via Reinforcement Learning on Verified Data, Without Pipeline Engineering","created":"2026-03-20","cited_by_count":1,"area":"lr"},{"id":"2604.06736","title":"SQLStructEval: Structural Evaluation of LLM Text-to-SQL Generation","created":"2026-04-08","cited_by_count":1,"area":null},{"id":"2604.22934","title":"PExA: Parallel Exploration Agent for Complex Text-to-SQL","created":"2026-04-24","cited_by_count":1,"area":"agents"},{"id":"2604.25325","title":"R$^3$-SQL: Ranking Reward and Resampling for Text-to-SQL","created":"2026-04-28","cited_by_count":1,"area":null},{"id":"2605.04719","title":"Every Step Counts: Step-Level Credit Assignment for Tool-Integrated Text-to-SQL","created":"2026-05-06","cited_by_count":1,"area":null},{"id":"2606.06825","title":"Progress-SQL: Improving Reinforcement Learning for Text-to-SQL via Progressive Rewards","created":"2026-06-05","cited_by_count":1,"area":"lr"},{"id":"2606.23693","title":"EXPO-SQL: Execution-based Clause-level Policy Optimization for Text-to-SQL","created":"2026-04-29","cited_by_count":1,"area":null},{"id":"2607.03991","title":"Knowing When to Stop: Predicting Execution-Consistency Convergence in Text-to-SQL","created":"2026-07-04","cited_by_count":1,"area":null},{"id":"2607.11019","title":"QwenPaw-Data: Bridging Facts, Methodology, and Execution for Autonomous Enterprise Data Analytics","created":"2026-07-13","cited_by_count":1,"area":null},{"id":"2609.08950","title":"SQLMorph: Query Mutation and Fine-Grained Metrics for Text-to-SQL Evaluation","created":"2026-09-08","cited_by_count":1,"area":null},{"id":"2505.18122","title":"UNJOIN: Enhancing Multi-Table Text-to-SQL Generation via Schema Simplification","created":"2025-05-23","cited_by_count":0,"area":null},{"id":"2506.18916","title":"HI-SQL: Optimizing Text-to-SQL Systems through Dynamic Hint Integration","created":"2025-06-11","cited_by_count":0,"area":null},{"id":"2507.02221","title":"GDC Cohort Copilot: An AI Copilot for Curating Cohorts from the Genomic Data Commons","created":"2025-07-03","cited_by_count":0,"area":null},{"id":"2510.02394","title":"Retrieval and Augmentation of Domain Knowledge for Text-to-SQL Semantic Parsing","created":"2025-10-01","cited_by_count":0,"area":null}],"next_cursor":"100"}