Query and Conquer: Execution-Guided SQL Generation
Fuente:
arXiv
Saved in:
| Main Authors: | Borchmann, Łukasz, Wydmuch, Marek |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Tackling prediction tasks in relational databases with LLMs
by: Wydmuch, Marek, et al.
Published: (2024)
by: Wydmuch, Marek, et al.
Published: (2024)
Language Models Model Language
by: Borchmann, Łukasz
Published: (2025)
by: Borchmann, Łukasz
Published: (2025)
Notes on Applicability of GPT-4 to Document Understanding
by: Borchmann, Łukasz
Published: (2024)
by: Borchmann, Łukasz
Published: (2024)
In Case You Missed It: ARC 'Challenge' Is Not That Challenging
by: Borchmann, Łukasz
Published: (2024)
by: Borchmann, Łukasz
Published: (2024)
Unchecked and Overlooked: Addressing the Checkbox Blind Spot in Large Language Models with CheckboxQA
by: Turski, Michał, et al.
Published: (2025)
by: Turski, Michał, et al.
Published: (2025)
Arctic-Text2SQL-R1: Simple Rewards, Strong Reasoning in Text-to-SQL
by: Yao, Zhewei, et al.
Published: (2025)
by: Yao, Zhewei, et al.
Published: (2025)
OptiSQL: Executable SQL Generation from Optical Tokens
by: Li, Sifan, et al.
Published: (2026)
by: Li, Sifan, et al.
Published: (2026)
Can Models Help Us Create Better Models? Evaluating LLMs as Data Scientists
by: Pietruszka, Michał, et al.
Published: (2024)
by: Pietruszka, Michał, et al.
Published: (2024)
Decoupling SQL Query Hardness Parsing for Text-to-SQL
by: Yi, Jiawen, et al.
Published: (2023)
by: Yi, Jiawen, et al.
Published: (2023)
LitE-SQL: A Lightweight and Efficient Text-to-SQL Framework with Vector-based Schema Linking and Execution-Guided Self-Correction
by: Piao, Shengmin, et al.
Published: (2025)
by: Piao, Shengmin, et al.
Published: (2025)
Reinforcing Code Generation: Improving Text-to-SQL with Execution-Based Learning
by: Kulkarni, Atharv, et al.
Published: (2025)
by: Kulkarni, Atharv, et al.
Published: (2025)
ReEx-SQL: Reasoning with Execution-Aware Reinforcement Learning for Text-to-SQL
by: Dai, Yaxun, et al.
Published: (2025)
by: Dai, Yaxun, et al.
Published: (2025)
FlexSQL: Flexible Exploration and Execution Make Better Text-to-SQL Agents
by: Pham, Quang Hieu, et al.
Published: (2026)
by: Pham, Quang Hieu, et al.
Published: (2026)
Dynamic Boundary Time Warping for Sub-sequence Matching with Few Examples
by: Borchmann, Łukasz, et al.
Published: (2020)
by: Borchmann, Łukasz, et al.
Published: (2020)
SQL-Exchange: Transforming SQL Queries Across Domains
by: Daviran, Mohammadreza, et al.
Published: (2025)
by: Daviran, Mohammadreza, et al.
Published: (2025)
TailorSQL: An NL2SQL System Tailored to Your Query Workload
by: Vaidya, Kapil, et al.
Published: (2025)
by: Vaidya, Kapil, et al.
Published: (2025)
ExeSQL: Self-Taught Text-to-SQL Models with Execution-Driven Bootstrapping for SQL Dialects
by: Zhang, Jipeng, et al.
Published: (2025)
by: Zhang, Jipeng, et al.
Published: (2025)
Text2VectorSQL: Towards a Unified Interface for Vector Search and SQL Queries
by: Wang, Zhengren, et al.
Published: (2025)
by: Wang, Zhengren, et al.
Published: (2025)
Using LLM to select the right SQL Query from candidates
by: Li, Zhenwen, et al.
Published: (2024)
by: Li, Zhenwen, et al.
Published: (2024)
SQLformer: Deep Auto-Regressive Query Graph Generation for Text-to-SQL Translation
by: Bazaga, Adrián, et al.
Published: (2023)
by: Bazaga, Adrián, et al.
Published: (2023)
RAS: Reflection-Augmented Scaling with In-Context Learning for Executable Cypher Query Generation
by: Jung, Minseok, et al.
Published: (2026)
by: Jung, Minseok, et al.
Published: (2026)
EGREFINE: An Execution-Grounded Optimization Framework for Text-to-SQL Schema Refinement
by: Wang, Jiaqian, et al.
Published: (2026)
by: Wang, Jiaqian, et al.
Published: (2026)
Structure Guided Large Language Model for SQL Generation
by: Zhang, Qinggang, et al.
Published: (2024)
by: Zhang, Qinggang, et al.
Published: (2024)
Datrics Text2SQL: A Framework for Natural Language to SQL Query Generation
by: Gladkykh, Tetiana, et al.
Published: (2025)
by: Gladkykh, Tetiana, et al.
Published: (2025)
Query Carefully: Detecting the Unanswerables in Text-to-SQL Tasks
by: Saxer, Jasmin, et al.
Published: (2025)
by: Saxer, Jasmin, et al.
Published: (2025)
Rose-SQL: Role-State Evolution Guided Structured Reasoning for Multi-Turn Text-to-SQL
by: Zhou, Le, et al.
Published: (2026)
by: Zhou, Le, et al.
Published: (2026)
Knowledge-to-SQL: Enhancing SQL Generation with Data Expert LLM
by: Hong, Zijin, et al.
Published: (2024)
by: Hong, Zijin, et al.
Published: (2024)
Bridging the Gap: Transforming Natural Language Questions into SQL Queries via Abstract Query Pattern and Contextual Schema Markup
by: Kong, Yonghui, et al.
Published: (2025)
by: Kong, Yonghui, et al.
Published: (2025)
EzSQL: An SQL intermediate representation for improving SQL-to-text Generation
by: Bhardwaj, Meher, et al.
Published: (2024)
by: Bhardwaj, Meher, et al.
Published: (2024)
CRED-SQL: Enhancing Real-world Large Scale Database Text-to-SQL Parsing through Cluster Retrieval and Execution Description
by: Duan, Shaoming, et al.
Published: (2025)
by: Duan, Shaoming, et al.
Published: (2025)
E3-Rewrite: Learning to Rewrite SQL for Executability, Equivalence,and Efficiency
by: Xu, Dongjie, et al.
Published: (2025)
by: Xu, Dongjie, et al.
Published: (2025)
XiYan-SQL: A Novel Multi-Generator Framework For Text-to-SQL
by: Liu, Yifu, et al.
Published: (2025)
by: Liu, Yifu, et al.
Published: (2025)
Beyond Text-to-SQL for IoT Defense: A Comprehensive Framework for Querying and Classifying IoT Threats
by: Pavlich, Ryan, et al.
Published: (2024)
by: Pavlich, Ryan, et al.
Published: (2024)
MCS-SQL: Leveraging Multiple Prompts and Multiple-Choice Selection For Text-to-SQL Generation
by: Lee, Dongjun, et al.
Published: (2024)
by: Lee, Dongjun, et al.
Published: (2024)
PRACTIQ: A Practical Conversational Text-to-SQL dataset with Ambiguous and Unanswerable Queries
by: Dong, Mingwen, et al.
Published: (2024)
by: Dong, Mingwen, et al.
Published: (2024)
Beyond Query-Level Comparison: Fine-Grained Reinforcement Learning for Text-to-SQL with Automated Interpretable Critiques
by: Wang, Guifeng, et al.
Published: (2025)
by: Wang, Guifeng, et al.
Published: (2025)
Dubo-SQL: Diverse Retrieval-Augmented Generation and Fine Tuning for Text-to-SQL
by: Thorpe, Dayton G., et al.
Published: (2024)
by: Thorpe, Dayton G., et al.
Published: (2024)
ProbGate at EHRSQL 2024: Enhancing SQL Query Generation Accuracy through Probabilistic Threshold Filtering and Error Handling
by: Kim, Sangryul, et al.
Published: (2024)
by: Kim, Sangryul, et al.
Published: (2024)
Anatomy of a Query: W5H Dimensions and FAR Patterns for Text-to-SQL Evaluation
by: Hertzberg, Vicki Stover, et al.
Published: (2026)
by: Hertzberg, Vicki Stover, et al.
Published: (2026)
MultiTEND: A Multilingual Benchmark for Natural Language to NoSQL Query Translation
by: Qin, Zhiqian, et al.
Published: (2025)
by: Qin, Zhiqian, et al.
Published: (2025)
Similar Items
-
Tackling prediction tasks in relational databases with LLMs
by: Wydmuch, Marek, et al.
Published: (2024) -
Language Models Model Language
by: Borchmann, Łukasz
Published: (2025) -
Notes on Applicability of GPT-4 to Document Understanding
by: Borchmann, Łukasz
Published: (2024) -
In Case You Missed It: ARC 'Challenge' Is Not That Challenging
by: Borchmann, Łukasz
Published: (2024) -
Unchecked and Overlooked: Addressing the Checkbox Blind Spot in Large Language Models with CheckboxQA
by: Turski, Michał, et al.
Published: (2025)