Imagen de Portada

Leveraging Prior Experience: An Expandable Auxiliary Knowledge Base for Text-to-SQL

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Chu, Zhibo, Wang, Zichong, Qin, Qitao
Formato:	Preprint
Publicado:	2024
Materias:	Computation and Language
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Fairness in Large Language Models: A Taxonomic Survey
por: Chu, Zhibo, et al.
Publicado: (2024)

MCS-SQL: Leveraging Multiple Prompts and Multiple-Choice Selection For Text-to-SQL Generation
por: Lee, Dongjun, et al.
Publicado: (2024)

Knowledge Base Construction for Knowledge-Augmented Text-to-SQL
por: Baek, Jinheon, et al.
Publicado: (2025)

BiomedSQL: Text-to-SQL for Scientific Reasoning on Biomedical Knowledge Bases
por: Koretsky, Mathew J., et al.
Publicado: (2025)

History, Development, and Principles of Large Language Models-An Introductory Survey
por: Wang, Zichong, et al.
Publicado: (2024)

Taming SQL Complexity: LLM-Based Equivalence Evaluation for Text-to-SQL
por: Zeng, Qingyun, et al.
Publicado: (2025)

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

Agentar-Scale-SQL: Advancing Text-to-SQL through Orchestrated Test-Time Scaling
por: Wang, Pengfei, et al.
Publicado: (2025)

STaR-SQL: Self-Taught Reasoner for Text-to-SQL
por: He, Mingqian, 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)

Calibrating LLMs for Text-to-SQL Parsing by Leveraging Sub-clause Frequencies
por: Liu, Terrance, et al.
Publicado: (2025)

GEMMA-SQL: A Novel Text-to-SQL Model Based on Large Language Models
por: Pandey, Hari Mohan, et al.
Publicado: (2025)

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

Knowledge Distillation with Structured Chain-of-Thought for Text-to-SQL
por: Thaker, Khushboo, et al.
Publicado: (2025)

You Only Read Once (YORO): Learning to Internalize Database Knowledge for Text-to-SQL
por: Kobayashi, Hideo, et al.
Publicado: (2024)

Text2SQL-Flow: A Robust SQL-Aware Data Augmentation Framework for Text-to-SQL
por: Cai, Qifeng, et al.
Publicado: (2025)

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

MaskSQL: Safeguarding Privacy for LLM-Based Text-to-SQL via Abstraction
por: Abedini, Sepideh, et al.
Publicado: (2025)

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

SLM-SQL: An Exploration of Small Language Models for Text-to-SQL
por: Sheng, Lei, et al.
Publicado: (2025)

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

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

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

Every Step Counts: Step-Level Credit Assignment for Tool-Integrated Text-to-SQL
por: Dai, Yaxun, et al.
Publicado: (2026)

ORANGE: An Online Reflection ANd GEneration framework with Domain Knowledge for Text-to-SQL
por: Jiao, Yiwen, et al.
Publicado: (2025)

Text-to-SQL for Enterprise Data Analytics
por: Chen, Albert, et al.
Publicado: (2025)

RB-SQL: A Retrieval-based LLM Framework for Text-to-SQL
por: Wu, Zhenhe, et al.
Publicado: (2024)

OmniSQL: Synthesizing High-quality Text-to-SQL Data at Scale
por: Li, Haoyang, 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)

Unmasking Database Vulnerabilities: Zero-Knowledge Schema Inference Attacks in Text-to-SQL Systems
por: Klisura, Đorđe, et al.
Publicado: (2024)

PolySQL: Scaling Text-to-SQL Evaluation Across SQL Dialects via Automated Backend Isomorphism
por: Perlitz, Yotam, et al.
Publicado: (2026)

DAC: Decomposed Automation Correction for Text-to-SQL
por: Wang, Dingzirui, et al.
Publicado: (2024)

AmbiSQL: Interactive Ambiguity Detection and Resolution for Text-to-SQL
por: Ding, Zhongjun, et al.
Publicado: (2025)

ErrorLLM: Modeling SQL Errors for Text-to-SQL Refinement
por: Hong, Zijin, et al.
Publicado: (2026)

Rose-SQL: Role-State Evolution Guided Structured Reasoning for Multi-Turn Text-to-SQL
por: Zhou, Le, et al.
Publicado: (2026)

Enhancing Text-to-SQL Capabilities of Large Language Models via Domain Database Knowledge Injection
por: Ma, Xingyu, et al.
Publicado: (2024)

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

E-SQL: Direct Schema Linking via Question Enrichment in Text-to-SQL
por: Caferoğlu, Hasan Alp, et al.
Publicado: (2024)

MARS-SQL: A multi-agent reinforcement learning framework for Text-to-SQL
por: Yang, Haolin, et al.
Publicado: (2025)

CSC-SQL: Corrective Self-Consistency in Text-to-SQL via Reinforcement Learning
por: Sheng, Lei, et al.
Publicado: (2025)