Papers

• Capital Markets LLM Reliability Score (CM-LRS): From Plausible to Bankable (2026)
  Prerit Ahuja
  5.01
• Reasoning-SQL: Reinforcement Learning with SQL Tailored Partial Rewards for Reasoning-Enhanced Text-to-SQL (2025)
  Mohammadreza Pourreza et al.
  2.71
• V-SQL: A View-based Two-stage Text-to-SQL Framework (2025)
  Zeshun You et al.
  2.65
• R^3-SQL: Ranking Reward and Resampling for Text-to-SQL (2026)
  Hojae Han et al.
  1.94
• Code-Guided Reasoning for Small Language Models: Evaluating Executable MCQA Scaffolds (2026)
  Prateek Biswas et al.
  1.89
• ReViSQL: Achieving Human-Level Text-to-SQL (2026)
  Yuxuan Zhu et al.
  1.78
• Schema on the Inside: A Two-Phase Fine-Tuning Method for High-Efficiency Text-to-SQL at Scale (2026)
  Chinmay Soni et al.
  1.78
• SQL-Trail: Multi-Turn Reinforcement Learning with Interleaved Feedback for Text-to-SQL (2026)
  Harper Hua et al.
  1.67
• CRED-SQL: Enhancing Real-world Large Scale Database Text-to-SQL Parsing through Cluster Retrieval and Execution Description (2025)
  Shaoming Duan et al.
  1.39
• XiYan-SQL: A Novel Multi-Generator Framework For Text-to-SQL (2025)
  Yifu Liu et al.
  1.33
• Plan and Budget: Effective and Efficient Test-Time Scaling on Large Language Model Reasoning (2025)
  Junhong Lin et al.
  1.28
• Skywork-SWE: Unveiling Data Scaling Laws for Software Engineering in LLMs (2025)
  Liang Zeng et al.
  1.28
• Technical Report: Full-Stack Fine-Tuning for the Q Programming Language (2025)
  Brendan R. Hogan et al.
  1.28
• EllieSQL: Cost-Efficient Text-to-SQL with Complexity-Aware Routing (2025)
  Yizhang Zhu et al.
  1.11
• Weakly Supervised Text-to-SQL Parsing through Question Decomposition (2021)
  Tomer Wolfson et al.
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• SeSQL: Yet Another Large-scale Session-level Chinese Text-to-SQL Dataset (2022)
  Saihao Huang et al.
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• FinSQL: Model-Agnostic LLMs-based Text-to-SQL Framework for Financial Analysis (2024)
  Chao Zhang et al.
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• BookSQL: A Large Scale Text-to-SQL Dataset for Accounting Domain (2024)
  Rahul Kumar and Amar Raja Dibbu and Shrutendra Harsola and Vignesh Subrahmaniam and Ashutosh Modi
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• FLEX: Expert-level False-Less EXecution Metric for Reliable Text-to-SQL Benchmark (2024)
  Heegyu Kim et al.
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• Enhancing LLM Fine-tuning for Text-to-SQLs by SQL Quality Measurement (2024)
  Shouvon Sarker et al.
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• LR-SQL: A Supervised Fine-Tuning Method for Text2SQL Tasks under Low-Resource Scenarios (2024)
  Wen Wuzhenghong et al.
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