IEEE

VisQ2SQL: Towards SQL-Driven Data Visualization via LLMs-Grounded Preference Learning

Abstract: Text-to-Visualization (Text2Vis) aims to democratize data insights for non-expert users by transforming natural language query (NLQ) into visualization specification (VS). In view of the ...
Frontiers

Enhanced SQL injection detection using chi-square feature selection and machine learning classifiers

Computational and Communication Science and Engineering (CoCSE), The Nelson Mandela African Institution of Science and Technology (NM-AIST), Arusha, Tanzania In the face of increasing cyberattacks, ...
ZDNet

You should still learn to code, says top Google AI exec - here's why

AI Dev, DeepLearning.ai's AI conference, made its NYC debut. We sat down with Andrew Ng at the event to talk AI and developers. Ng recommends that everyone learn to code. The second annual AI Dev, a ...
Visual Studio Magazine

VS Code SQL Extension Previews Microsoft Fabric Connectivity

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 ...
Inc

Anthropic Is Making It Easier to Learn How to Code

Anthropic’s Claude is getting a side gig as a tutor. The company has launched new modes for its two consumer-facing platforms, Claude.ai and Claude Code. The modes will enable Claude to not just ...
Microsoft

From code to community: The collective effort behind SQL Server 2025

At Build 2025, SQL Server 2025 officially entered public preview. As one of the world’s most popular databases, this release continues a decades-long history of innovation with features made for ...
GitHub

CSC-SQL: Corrective Self-Consistency in Text-to-SQL via Reinforcement Learning

Large language models (LLMs) have demonstrated strong capabilities in translating natural language questions about relational databases into SQL queries. In particular, test-time scaling techniques ...
GitHub

SQL-R1: Training Natural Language to SQL Reasoning Model By Reinforcement Learning

Natural Language to SQL (NL2SQL) enables intuitive interactions with databases by transforming natural language queries into structured SQL statements. Despite recent advancements in enhancing ...
marktechpost

SQL-R1: A Reinforcement Learning-based NL2SQL Model that Outperforms Larger Systems in Complex Queries with Transparent and Accurate SQL Generation

Natural language interface to databases is a growing focus within artificial intelligence, particularly because it allows users to interact with structured databases using plain human language. This ...
dbta

After 50 Years, What’s Next for SQL?

Even after 50 years, Structured Query Language, or SQL, remains the native tongue for those who speak data. It’s had impressive staying power since it was first coined the Structured Query English ...
IEEE

SQL-Net: Semantic Query Learning for Point-Supervised Temporal Action Localization

Abstract: Point-supervised Temporal Action Localization (PS-TAL) detects temporal intervals of actions in untrimmed videos with a label-efficient paradigm. However, most existing methods fail to learn ...