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 ...
The web framework IHP 1.5.0 brings a new database layer, significant performance gains, and an improved modular architecture.
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 ...
ABSTRACT: This study addresses the challenges in teaching the “Comprehensive Business English” course, a core program integrating language, culture, and business knowledge. Current practices face ...
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 ...
Microsoft updated its free MSSQL extension for Visual Studio Code with new Fabric connectivity and provisioning features in public preview, alongside GitHub Copilot slash commands and multiple ...
Question 2: How teachers integrate content, language in instruction The authors identified 183 articles that tackled teachers' specific practices in integrating content and language into their ...
Abstract: This paper introduces G-SQL, a schema-aware and rule-guided framework for translating Natural Language Queries (NLQ) into SQL, designed to support users with limited technical expertise.
Johns Hopkins computer scientists have discovered that artificial intelligence tools like ChatGPT are creating a digital language divide, amplifying the dominance of English and other commonly spoken ...
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