CSC-SQL: Corrective Self-Consistency in Text-to-SQL via Reinforcement Learning
Fuente:
arXiv
Guardado en:
| Autores principales: | Sheng, Lei, Xu, Shuai-Shuai |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
SLM-SQL: An Exploration of Small Language Models for Text-to-SQL
por: Sheng, Lei, et al.
Publicado: (2025)
por: Sheng, Lei, et al.
Publicado: (2025)
BASE-SQL: A powerful open source Text-To-SQL baseline approach
por: Sheng, Lei, et al.
Publicado: (2025)
por: Sheng, Lei, et al.
Publicado: (2025)
EdaCSC: Two Easy Data Augmentation Methods for Chinese Spelling Correction
por: Sheng, Lei, et al.
Publicado: (2024)
por: Sheng, Lei, et al.
Publicado: (2024)
SQL-Trail: Multi-Turn Reinforcement Learning with Interleaved Feedback for Text-to-SQL
por: Hua, Harper, et al.
Publicado: (2026)
por: Hua, Harper, et al.
Publicado: (2026)
EvolSQL: Structure-Aware Evolution for Scalable Text-to-SQL Data Synthesis
por: Pan, Xuanguang, et al.
Publicado: (2026)
por: Pan, Xuanguang, et al.
Publicado: (2026)
ReEx-SQL: Reasoning with Execution-Aware Reinforcement Learning for Text-to-SQL
por: Dai, Yaxun, et al.
Publicado: (2025)
por: Dai, Yaxun, et al.
Publicado: (2025)
STaR-SQL: Self-Taught Reasoner for Text-to-SQL
por: He, Mingqian, et al.
Publicado: (2025)
por: He, Mingqian, et al.
Publicado: (2025)
OmniSQL: Synthesizing High-quality Text-to-SQL Data at Scale
por: Li, Haoyang, et al.
Publicado: (2025)
por: Li, Haoyang, et al.
Publicado: (2025)
OpenSearch-SQL: Enhancing Text-to-SQL with Dynamic Few-shot and Consistency Alignment
por: Xie, Xiangjin, et al.
Publicado: (2025)
por: Xie, Xiangjin, et al.
Publicado: (2025)
SAFE-SQL: Self-Augmented In-Context Learning with Fine-grained Example Selection for Text-to-SQL
por: Lee, Jimin, et al.
Publicado: (2025)
por: Lee, Jimin, et al.
Publicado: (2025)
Text2SQL-Flow: A Robust SQL-Aware Data Augmentation Framework for Text-to-SQL
por: Cai, Qifeng, et al.
Publicado: (2025)
por: Cai, Qifeng, et al.
Publicado: (2025)
SDE-SQL: Enhancing Text-to-SQL Generation in Large Language Models via Self-Driven Exploration with SQL Probes
por: Xie, Wenxuan, et al.
Publicado: (2025)
por: Xie, Wenxuan, et al.
Publicado: (2025)
PolySQL: Scaling Text-to-SQL Evaluation Across SQL Dialects via Automated Backend Isomorphism
por: Perlitz, Yotam, et al.
Publicado: (2026)
por: Perlitz, Yotam, et al.
Publicado: (2026)
ExeSQL: Self-Taught Text-to-SQL Models with Execution-Driven Bootstrapping for SQL Dialects
por: Zhang, Jipeng, et al.
Publicado: (2025)
por: Zhang, Jipeng, et al.
Publicado: (2025)
DAC: Decomposed Automation Correction for Text-to-SQL
por: Wang, Dingzirui, et al.
Publicado: (2024)
por: Wang, Dingzirui, et al.
Publicado: (2024)
CoE-SQL: In-Context Learning for Multi-Turn Text-to-SQL with Chain-of-Editions
por: Zhang, Hanchong, et al.
Publicado: (2024)
por: Zhang, Hanchong, et al.
Publicado: (2024)
Decoupling SQL Query Hardness Parsing for Text-to-SQL
por: Yi, Jiawen, et al.
Publicado: (2023)
por: Yi, Jiawen, et al.
Publicado: (2023)
MAGIC: Generating Self-Correction Guideline for In-Context Text-to-SQL
por: Askari, Arian, et al.
Publicado: (2024)
por: Askari, Arian, et al.
Publicado: (2024)
E-SQL: Direct Schema Linking via Question Enrichment in Text-to-SQL
por: Caferoğlu, Hasan Alp, et al.
Publicado: (2024)
por: Caferoğlu, Hasan Alp, et al.
Publicado: (2024)
SelECT-SQL: Self-correcting ensemble Chain-of-Thought for Text-to-SQL
por: Shen, Ke, et al.
Publicado: (2024)
por: Shen, Ke, et al.
Publicado: (2024)
Sparks of Tabular Reasoning via Text2SQL Reinforcement Learning
por: Stoisser, Josefa Lia, et al.
Publicado: (2025)
por: Stoisser, Josefa Lia, et al.
Publicado: (2025)
SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL
por: Gong, Yue, et al.
Publicado: (2025)
por: Gong, Yue, et al.
Publicado: (2025)
LitE-SQL: A Lightweight and Efficient Text-to-SQL Framework with Vector-based Schema Linking and Execution-Guided Self-Correction
por: Piao, Shengmin, et al.
Publicado: (2025)
por: Piao, Shengmin, et al.
Publicado: (2025)
RH-SQL: Refined Schema and Hardness Prompt for Text-to-SQL
por: Yi, Jiawen, et al.
Publicado: (2024)
por: Yi, Jiawen, et al.
Publicado: (2024)
FlexSQL: Flexible Exploration and Execution Make Better Text-to-SQL Agents
por: Pham, Quang Hieu, et al.
Publicado: (2026)
por: Pham, Quang Hieu, et al.
Publicado: (2026)
Reinforcing Code Generation: Improving Text-to-SQL with Execution-Based Learning
por: Kulkarni, Atharv, et al.
Publicado: (2025)
por: Kulkarni, Atharv, et al.
Publicado: (2025)
Rose-SQL: Role-State Evolution Guided Structured Reasoning for Multi-Turn Text-to-SQL
por: Zhou, Le, et al.
Publicado: (2026)
por: Zhou, Le, et al.
Publicado: (2026)
MaskSQL: Safeguarding Privacy for LLM-Based Text-to-SQL via Abstraction
por: Abedini, Sepideh, et al.
Publicado: (2025)
por: Abedini, Sepideh, et al.
Publicado: (2025)
AmbiSQL: Interactive Ambiguity Detection and Resolution for Text-to-SQL
por: Ding, Zhongjun, et al.
Publicado: (2025)
por: Ding, Zhongjun, et al.
Publicado: (2025)
ErrorLLM: Modeling SQL Errors for Text-to-SQL Refinement
por: Hong, Zijin, et al.
Publicado: (2026)
por: Hong, Zijin, et al.
Publicado: (2026)
Taming SQL Complexity: LLM-Based Equivalence Evaluation for Text-to-SQL
por: Zeng, Qingyun, et al.
Publicado: (2025)
por: Zeng, Qingyun, et al.
Publicado: (2025)
RB-SQL: A Retrieval-based LLM Framework for Text-to-SQL
por: Wu, Zhenhe, et al.
Publicado: (2024)
por: Wu, Zhenhe, et al.
Publicado: (2024)
MAC-SQL: A Multi-Agent Collaborative Framework for Text-to-SQL
por: Wang, Bing, et al.
Publicado: (2023)
por: Wang, Bing, et al.
Publicado: (2023)
SQLCritic: Correcting Text-to-SQL Generation via Clause-wise Critic
por: Chen, Jikai, et al.
Publicado: (2025)
por: Chen, Jikai, et al.
Publicado: (2025)
LLMSQL: Upgrading WikiSQL for the LLM Era of Text-to-SQL
por: Pihulski, Dzmitry, et al.
Publicado: (2025)
por: Pihulski, Dzmitry, et al.
Publicado: (2025)
PTD-SQL: Partitioning and Targeted Drilling with LLMs in Text-to-SQL
por: Luo, Ruilin, et al.
Publicado: (2024)
por: Luo, Ruilin, et al.
Publicado: (2024)
Reward-SQL: Boosting Text-to-SQL via Stepwise Reasoning and Process-Supervised Rewards
por: Zhang, Yuxin, et al.
Publicado: (2025)
por: Zhang, Yuxin, et al.
Publicado: (2025)
MARS-SQL: A multi-agent reinforcement learning framework for Text-to-SQL
por: Yang, Haolin, et al.
Publicado: (2025)
por: Yang, Haolin, et al.
Publicado: (2025)
XiYan-SQL: A Novel Multi-Generator Framework For Text-to-SQL
por: Liu, Yifu, et al.
Publicado: (2025)
por: Liu, Yifu, et al.
Publicado: (2025)
Solid-SQL: Enhanced Schema-linking based In-context Learning for Robust Text-to-SQL
por: Liu, Geling, et al.
Publicado: (2024)
por: Liu, Geling, et al.
Publicado: (2024)
Ejemplares similares
-
SLM-SQL: An Exploration of Small Language Models for Text-to-SQL
por: Sheng, Lei, et al.
Publicado: (2025) -
BASE-SQL: A powerful open source Text-To-SQL baseline approach
por: Sheng, Lei, et al.
Publicado: (2025) -
EdaCSC: Two Easy Data Augmentation Methods for Chinese Spelling Correction
por: Sheng, Lei, et al.
Publicado: (2024) -
SQL-Trail: Multi-Turn Reinforcement Learning with Interleaved Feedback for Text-to-SQL
por: Hua, Harper, et al.
Publicado: (2026) -
EvolSQL: Structure-Aware Evolution for Scalable Text-to-SQL Data Synthesis
por: Pan, Xuanguang, et al.
Publicado: (2026)