Imagen de Portada

SQLForge: Synthesizing Reliable and Diverse Data to Enhance Text-to-SQL Reasoning in LLMs

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Guo, Yu, Jin, Dong, Ye, Shenghao, Chen, Shuangwu, Yang, Jian, Tan, Xiaobin
Formato:	Preprint
Publicado:	2025
Materias:	Computation and Language
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Rethinking Stepwise Model Routing: A Cost-Efficient Table Reasoning Perspective
por: Ye, Shenghao, et al.
Publicado: (2026)

Rubric-Guided Process Reward for Stepwise Model Routing
por: Ye, Shenghao, et al.
Publicado: (2026)

Synthesizing Text-to-SQL Data from Weak and Strong LLMs
por: Yang, Jiaxi, et al.
Publicado: (2024)

Rethinking Table Pruning in TableQA: From Sequential Revisions to Gold Trajectory-Supervised Parallel Search
por: Guo, Yu, et al.
Publicado: (2026)

When TableQA Meets Noise: A Dual Denoising Framework for Complex Questions and Large-scale Tables
por: Ye, Shenghao, et al.
Publicado: (2025)

OmniSQL: Synthesizing High-quality Text-to-SQL Data at Scale
por: Li, Haoyang, et al.
Publicado: (2025)

Reward-SQL: Boosting Text-to-SQL via Stepwise Reasoning and Process-Supervised Rewards
por: Zhang, Yuxin, et al.
Publicado: (2025)

Pi-SQL: Enhancing Text-to-SQL with Fine-Grained Guidance from Pivot Programming Languages
por: chi, Yongdong, et al.
Publicado: (2025)

Decoupling SQL Query Hardness Parsing for Text-to-SQL
por: Yi, Jiawen, et al.
Publicado: (2023)

EPI-SQL: Enhancing Text-to-SQL Translation with Error-Prevention Instructions
por: Liu, Xiping, et al.
Publicado: (2024)

ReEx-SQL: Reasoning with Execution-Aware Reinforcement Learning for Text-to-SQL
por: Dai, Yaxun, et al.
Publicado: (2025)

DCMM-SQL: Automated Data-Centric Pipeline and Multi-Model Collaboration Training for Text-to-SQL Model
por: Xie, Yuanzhen, et al.
Publicado: (2025)

MCTS-SQL: Light-Weight LLMs can Master the Text-to-SQL through Monte Carlo Tree Search
por: Yuan, Shuozhi, et al.
Publicado: (2025)

PTD-SQL: Partitioning and Targeted Drilling with LLMs in Text-to-SQL
por: Luo, Ruilin, et al.
Publicado: (2024)

RH-SQL: Refined Schema and Hardness Prompt for Text-to-SQL
por: Yi, Jiawen, et al.
Publicado: (2024)

STaR-SQL: Self-Taught Reasoner for Text-to-SQL
por: He, Mingqian, et al.
Publicado: (2025)

Evaluating and Enhancing LLMs for Multi-turn Text-to-SQL with Multiple Question Types
por: Guo, Ziming, et al.
Publicado: (2024)

Companion Agents: A Table-Information Mining Paradigm for Text-to-SQL
por: Chen, Jiahui, et al.
Publicado: (2025)

Synthesizing Privacy-Preserving Text Data via Finetuning without Finetuning Billion-Scale LLMs
por: Tan, Bowen, et al.
Publicado: (2025)

Synthesizing Post-Training Data for LLMs through Multi-Agent Simulation
por: Tang, Shuo, et al.
Publicado: (2024)

FlexSQL: Flexible Exploration and Execution Make Better Text-to-SQL Agents
por: Pham, Quang Hieu, et al.
Publicado: (2026)

Dubo-SQL: Diverse Retrieval-Augmented Generation and Fine Tuning for Text-to-SQL
por: Thorpe, Dayton G., et al.
Publicado: (2024)

LFC-DA: Logical Formula-Controlled Data Augmentation for Enhanced Logical Reasoning
por: Li, Shenghao
Publicado: (2025)

FinSQL: Model-Agnostic LLMs-based Text-to-SQL Framework for Financial Analysis
por: Zhang, Chao, et al.
Publicado: (2024)

RingSQL: Generating Synthetic Data with Schema-Independent Templates for Text-to-SQL Reasoning Models
por: Sterbentz, Marko, et al.
Publicado: (2026)

Open-SQL Framework: Enhancing Text-to-SQL on Open-source Large Language Models
por: Chen, Xiaojun, et al.
Publicado: (2024)

Knowledge-to-SQL: Enhancing SQL Generation with Data Expert LLM
por: Hong, Zijin, et al.
Publicado: (2024)

Text2SQL-Flow: A Robust SQL-Aware Data Augmentation Framework for Text-to-SQL
por: Cai, Qifeng, 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)

PET-SQL: A Prompt-Enhanced Two-Round Refinement of Text-to-SQL with Cross-consistency
por: Li, Zhishuai, et al.
Publicado: (2024)

LongFaith: Enhancing Long-Context Reasoning in LLMs with Faithful Synthetic Data
por: Yang, Cehao, et al.
Publicado: (2025)

Improving Demonstration Diversity by Human-Free Fusing for Text-to-SQL
por: Wang, Dingzirui, et al.
Publicado: (2024)

MAC-SQL: A Multi-Agent Collaborative Framework for Text-to-SQL
por: Wang, Bing, et al.
Publicado: (2023)

Patient-Similarity Cohort Reasoning in Clinical Text-to-SQL
por: Shen, Yifei, et al.
Publicado: (2026)

Arctic-Text2SQL-R1: Simple Rewards, Strong Reasoning in Text-to-SQL
por: Yao, Zhewei, et al.
Publicado: (2025)

Decomposition for Enhancing Attention: Improving LLM-based Text-to-SQL through Workflow Paradigm
por: Xie, Yuanzhen, et al.
Publicado: (2024)

DCG-SQL: Enhancing In-Context Learning for Text-to-SQL with Deep Contextual Schema Link Graph
por: Lee, Jihyung, 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)

ROUTE: Robust Multitask Tuning and Collaboration for Text-to-SQL
por: Qin, Yang, et al.
Publicado: (2024)

EvolSQL: Structure-Aware Evolution for Scalable Text-to-SQL Data Synthesis
por: Pan, Xuanguang, et al.
Publicado: (2026)