EurekAlert!

A cost-effective text-to-SQL approach based on adaptive refinement

The purpose of the Text-to-SQL task is to bridge the gap between natural language and SQL queries. Current approaches mainly rely on large language models (LLMs), but employing them for Text-to-SQL ha ...
NDTV Profit on MSN

Oracle layoffs: 'Helped build FreeSQL' — employee who lost job pens note

Massey, who was 30 weeks pregnant and spent four years with the company, was laid off via an e-mail sent to her inbox.

How GSC’s branded query filter changes SEO reporting and analysis

Learn how Google Search Console’s branded query filtering helps you track awareness, diagnose drops, and measure true SEO ...
Analytics Insight

Best Data Analysis Courses in 2026: What to Learn First and Where to Learn It

In-demand skills include data analysis. It has been predicted that in 2026 businesses will place a high value on analysts who ...
IEEE

CCS-SQL: Enhancing Text-to-SQL Framework for Computational Queries via Large Language Models

Abstract: The Text-to-SQL task is to convert natural language queries into Structured Query Language (SQL) to achieve a natural language interface for database queries. The current research on Text-to ...
TDAN

Democratizing Data with Text-to-SQL: How Natural Language Is Unlocking Enterprise Intelligence

In most enterprises, data access still feels like a locked room with SQL as the only key. Business teams depend on data engineers for every report, dashboard, or metric tweak. Even in the age of ...
Frontiers

Large language models for closed-library multi-document query, test generation, and evaluation

Learning complex, detailed, and evolving knowledge is a challenge in multiple technical professions. Relevant source knowledge is contained within many large documents and information sources with ...