Saved in:
| Main Authors: | Borthwick, Andrew, Ash, Stephen |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2601.01126 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
RoboPhD: Evolving Diverse Complex Agents Under Tight Evaluation Budgets
by: Borthwick, Andrew, et al.
Published: (2026)
by: Borthwick, Andrew, et al.
Published: (2026)
STaR-SQL: Self-Taught Reasoner for Text-to-SQL
by: He, Mingqian, et al.
Published: (2025)
by: He, Mingqian, et al.
Published: (2025)
EvolSQL: Structure-Aware Evolution for Scalable Text-to-SQL Data Synthesis
by: Pan, Xuanguang, et al.
Published: (2026)
by: Pan, Xuanguang, et al.
Published: (2026)
MAC-SQL: A Multi-Agent Collaborative Framework for Text-to-SQL
by: Wang, Bing, et al.
Published: (2023)
by: Wang, Bing, et al.
Published: (2023)
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)
CSC-SQL: Corrective Self-Consistency in Text-to-SQL via Reinforcement Learning
by: Sheng, Lei, et al.
Published: (2025)
by: Sheng, Lei, 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)
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)
SelECT-SQL: Self-correcting ensemble Chain-of-Thought for Text-to-SQL
by: Shen, Ke, et al.
Published: (2024)
by: Shen, Ke, et al.
Published: (2024)
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)
SAFE-SQL: Self-Augmented In-Context Learning with Fine-grained Example Selection for Text-to-SQL
by: Lee, Jimin, et al.
Published: (2025)
by: Lee, Jimin, et al.
Published: (2025)
KeyInst: Keyword Instruction for Improving SQL Formulation in Text-to-SQL
by: Liu, Xiping, et al.
Published: (2024)
by: Liu, Xiping, et al.
Published: (2024)
Improving Demonstration Diversity by Human-Free Fusing for Text-to-SQL
by: Wang, Dingzirui, et al.
Published: (2024)
by: Wang, Dingzirui, et al.
Published: (2024)
MAG-SQL: Multi-Agent Generative Approach with Soft Schema Linking and Iterative Sub-SQL Refinement for Text-to-SQL
by: Xie, Wenxuan, et al.
Published: (2024)
by: Xie, Wenxuan, et al.
Published: (2024)
SQL-PaLM: Improved Large Language Model Adaptation for Text-to-SQL (extended)
by: Sun, Ruoxi, et al.
Published: (2023)
by: Sun, Ruoxi, et al.
Published: (2023)
SDE-SQL: Enhancing Text-to-SQL Generation in Large Language Models via Self-Driven Exploration with SQL Probes
by: Xie, Wenxuan, et al.
Published: (2025)
by: Xie, Wenxuan, et al.
Published: (2025)
Decoupling SQL Query Hardness Parsing for Text-to-SQL
by: Yi, Jiawen, et al.
Published: (2023)
by: Yi, Jiawen, et al.
Published: (2023)
Text2SQL-Flow: A Robust SQL-Aware Data Augmentation Framework for Text-to-SQL
by: Cai, Qifeng, et al.
Published: (2025)
by: Cai, Qifeng, et al.
Published: (2025)
SQL-Encoder: Improving NL2SQL In-Context Learning Through a Context-Aware Encoder
by: Pourreza, Mohammadreza, et al.
Published: (2024)
by: Pourreza, Mohammadreza, et al.
Published: (2024)
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)
SLM-SQL: An Exploration of Small Language Models for Text-to-SQL
by: Sheng, Lei, et al.
Published: (2025)
by: Sheng, Lei, et al.
Published: (2025)
RH-SQL: Refined Schema and Hardness Prompt for Text-to-SQL
by: Yi, Jiawen, et al.
Published: (2024)
by: Yi, Jiawen, et al.
Published: (2024)
SPFT-SQL: Enhancing Large Language Model for Text-to-SQL Parsing by Self-Play Fine-Tuning
by: Zhang, Yuhao, et al.
Published: (2025)
by: Zhang, Yuhao, et al.
Published: (2025)
PExA: Parallel Exploration Agent for Complex Text-to-SQL
by: Parekh, Tanmay, et al.
Published: (2026)
by: Parekh, Tanmay, et al.
Published: (2026)
ErrorLLM: Modeling SQL Errors for Text-to-SQL Refinement
by: Hong, Zijin, et al.
Published: (2026)
by: Hong, Zijin, et al.
Published: (2026)
AmbiSQL: Interactive Ambiguity Detection and Resolution for Text-to-SQL
by: Ding, Zhongjun, et al.
Published: (2025)
by: Ding, Zhongjun, et al.
Published: (2025)
Taming SQL Complexity: LLM-Based Equivalence Evaluation for Text-to-SQL
by: Zeng, Qingyun, et al.
Published: (2025)
by: Zeng, Qingyun, et al.
Published: (2025)
RB-SQL: A Retrieval-based LLM Framework for Text-to-SQL
by: Wu, Zhenhe, et al.
Published: (2024)
by: Wu, Zhenhe, et al.
Published: (2024)
PolySQL: Scaling Text-to-SQL Evaluation Across SQL Dialects via Automated Backend Isomorphism
by: Perlitz, Yotam, et al.
Published: (2026)
by: Perlitz, Yotam, et al.
Published: (2026)
MAGIC: Generating Self-Correction Guideline for In-Context Text-to-SQL
by: Askari, Arian, et al.
Published: (2024)
by: Askari, Arian, et al.
Published: (2024)
Companion Agents: A Table-Information Mining Paradigm for Text-to-SQL
by: Chen, Jiahui, et al.
Published: (2025)
by: Chen, Jiahui, et al.
Published: (2025)
AGENTIQL: An Agent-Inspired Multi-Expert Framework for Text-to-SQL Generation
by: Heidari, Omid Reza, et al.
Published: (2025)
by: Heidari, Omid Reza, et al.
Published: (2025)
AutoLink: Autonomous Schema Exploration and Expansion for Scalable Schema Linking in Text-to-SQL at Scale
by: Wang, Ziyang, et al.
Published: (2025)
by: Wang, Ziyang, et al.
Published: (2025)
Agent Bain vs. Agent McKinsey: A New Text-to-SQL Benchmark for the Business Domain
by: Li, Yue, et al.
Published: (2025)
by: Li, Yue, et al.
Published: (2025)
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)
PTD-SQL: Partitioning and Targeted Drilling with LLMs in Text-to-SQL
by: Luo, Ruilin, et al.
Published: (2024)
by: Luo, Ruilin, et al.
Published: (2024)
LLMSQL: Upgrading WikiSQL for the LLM Era of Text-to-SQL
by: Pihulski, Dzmitry, et al.
Published: (2025)
by: Pihulski, Dzmitry, et al.
Published: (2025)
MARS-SQL: A multi-agent reinforcement learning framework for Text-to-SQL
by: Yang, Haolin, et al.
Published: (2025)
by: Yang, Haolin, et al.
Published: (2025)
E-SQL: Direct Schema Linking via Question Enrichment in Text-to-SQL
by: Caferoğlu, Hasan Alp, et al.
Published: (2024)
by: Caferoğlu, Hasan Alp, et al.
Published: (2024)
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)
Similar Items
-
RoboPhD: Evolving Diverse Complex Agents Under Tight Evaluation Budgets
by: Borthwick, Andrew, et al.
Published: (2026) -
STaR-SQL: Self-Taught Reasoner for Text-to-SQL
by: He, Mingqian, et al.
Published: (2025) -
EvolSQL: Structure-Aware Evolution for Scalable Text-to-SQL Data Synthesis
by: Pan, Xuanguang, et al.
Published: (2026) -
MAC-SQL: A Multi-Agent Collaborative Framework for Text-to-SQL
by: Wang, Bing, et al.
Published: (2023) -
FlexSQL: Flexible Exploration and Execution Make Better Text-to-SQL Agents
by: Pham, Quang Hieu, et al.
Published: (2026)