Cover Image

High-Fidelity And Complex Test Data Generation For Google SQL Code Generation Services

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kannan, Shivasankari, Chung, Yeounoh, Gondi, Amita, Swadell, Tristan, Ozcan, Fatma
Format:	Preprint
Published:	2025
Subjects:	Databases Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

CHASE-SQL: Multi-Path Reasoning and Preference Optimized Candidate Selection in Text-to-SQL
by: Pourreza, Mohammadreza, et al.
Published: (2024)

Is Long Context All You Need? Leveraging LLM's Extended Context for NL2SQL
by: Chung, Yeounoh, et al.
Published: (2025)

Fine-Grained Table Retrieval Through the Lens of Complex Queries
by: Kosiuk, Wojciech, et al.
Published: (2026)

Multi-Objective Agentic Rewrites for Unstructured Data Processing
by: Wei, Lindsey Linxi, et al.
Published: (2025)

Towards Optimizing SQL Generation via LLM Routing
by: Malekpour, Mohammadhossein, et al.
Published: (2024)

Qrlew: Rewriting SQL into Differentially Private SQL
by: Grislain, Nicolas, et al.
Published: (2024)

SQL-of-Thought: Multi-agentic Text-to-SQL with Guided Error Correction
by: Chaturvedi, Saumya, et al.
Published: (2025)

TranSQL+: Serving Large Language Models with SQL on Low-Resource Hardware
by: Sun, Wenbo, et al.
Published: (2025)

X-SQL: Expert Schema Linking and Understanding of Text-to-SQL with Multi-LLMs
by: Peng, Dazhi
Published: (2025)

HI-SQL: Optimizing Text-to-SQL Systems through Dynamic Hint Integration
by: Parab, Ganesh, et al.
Published: (2025)

Think2SQL: Reinforce LLM Reasoning Capabilities for Text2SQL
by: Papicchio, Simone, et al.
Published: (2025)

CardBench: A Benchmark for Learned Cardinality Estimation in Relational Databases
by: Chronis, Yannis, et al.
Published: (2024)

Benchmarking the Fidelity and Utility of Synthetic Relational Data
by: Hudovernik, Valter, et al.
Published: (2024)

Cortex AISQL: A Production SQL Engine for Unstructured Data
by: Liskowski, Paweł, et al.
Published: (2025)

SQL4NN: Validation and expressive querying of models as data
by: Gerarts, Mark, et al.
Published: (2025)

IRG: Modular Synthetic Relational Database Generation with Complex Relational Schemas
by: Li, Jiayu, et al.
Published: (2023)

TinySQL: A Progressive Text-to-SQL Dataset for Mechanistic Interpretability Research
by: Harrasse, Abir, et al.
Published: (2025)

End-to-end Text-to-SQL Generation within an Analytics Insight Engine
by: Maamari, Karime, et al.
Published: (2024)

Fundamental Challenges in Evaluating Text2SQL Solutions and Detecting Their Limitations
by: Renggli, Cedric, et al.
Published: (2025)

SQL-GEN: Bridging the Dialect Gap for Text-to-SQL Via Synthetic Data And Model Merging
by: Pourreza, Mohammadreza, et al.
Published: (2024)

Is it Bigger than a Breadbox: Efficient Cardinality Estimation for Real World Workloads
by: Yi, Zixuan, et al.
Published: (2025)

A Learned Cost Model-based Cross-engine Optimizer for SQL Workloads
by: Strausz, András, et al.
Published: (2025)

Can the Rookies Cut the Tough Cookie? Exploring the Use of LLMs for SQL Equivalence Checking
by: Singh, Rajat, et al.
Published: (2024)

Exploring the Heterogeneity of Tabular Data: A Diversity-aware Data Generator via LLMs
by: Tang, Yafeng, et al.
Published: (2025)

On Enhancing Root Cause Analysis with SQL Summaries for Failures in Database Workload Replays at SAP HANA
by: Jambigi, Neetha, et al.
Published: (2024)

Graph-Reward-SQL: Execution-Free Reinforcement Learning for Text-to-SQL via Graph Matching and Stepwise Reward
by: Weng, Han, et al.
Published: (2025)

SQL2Circuits: Estimating Cardinalities, Execution Times, and Costs for SQL Queries with Quantum Natural Language Processing
by: Uotila, Valter
Published: (2023)

Reasoning-SQL: Reinforcement Learning with SQL Tailored Partial Rewards for Reasoning-Enhanced Text-to-SQL
by: Pourreza, Mohammadreza, et al.
Published: (2025)

Hierarchical Conditional Tabular GAN for Multi-Tabular Synthetic Data Generation
by: Ågren, Wilhelm, et al.
Published: (2024)

SQLBarber: A System Leveraging Large Language Models to Generate Customized and Realistic SQL Workloads
by: Lao, Jiale, et al.
Published: (2025)

PromptMind Team at EHRSQL-2024: Improving Reliability of SQL Generation using Ensemble LLMs
by: Gundabathula, Satya K, et al.
Published: (2024)

CHESS: Contextual Harnessing for Efficient SQL Synthesis
by: Talaei, Shayan, et al.
Published: (2024)

CaDrift: A Time-dependent Causal Generator of Drifting Data Streams
by: Barboza, Eduardo V. L., et al.
Published: (2026)

Data Wrangling Task Automation Using Code-Generating Language Models
by: Akella, Ashlesha, et al.
Published: (2025)

Evaluating NL2SQL via SQL2NL
by: Safarzadeh, Mohammadtaher, et al.
Published: (2025)

SemBench: A Benchmark for Semantic Query Processing Engines
by: Lao, Jiale, et al.
Published: (2025)

GAN-based Tabular Data Generator for Constructing Synopsis in Approximate Query Processing: Challenges and Solutions
by: Fallahian, Mohammadali, et al.
Published: (2022)

A Preview of XiYan-SQL: A Multi-Generator Ensemble Framework for Text-to-SQL
by: Gao, Yingqi, et al.
Published: (2024)

Towards Practical Benchmarking of Data Cleaning Techniques: On Generating Authentic Errors via Large Language Models
by: Liu, Xinyuan, et al.
Published: (2025)

ExCoT: Optimizing Reasoning for Text-to-SQL with Execution Feedback
by: Zhai, Bohan, et al.
Published: (2025)