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 ...
AI database innovation at Oracle drives a redesigned data platform with vector search, AI agents, stronger privacy controls ...
Abstract: Structured data embodies vast reservoirs of actionable knowledge, yet non-technical users often lack the tools to effectively access or leverage these resources. This paper presents a novel ...
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Soroosh Khodami discusses why we aren't ready ...
Written by Dr. Pradyumna (Prady) Gupta, Founder & CEO of Infinita Lab and Infinita Materials. As electronic devices and EV systems continue to push the boundaries of power density and miniaturization, ...
More details can be found in our NDSS 2026 paper. Efficiently Detecting DBMS Bugs through Bottom-up Syntax-based SQL Generation @inproceedings{liang:sqlbull, title = {{Efficiently Detecting DBMS Bugs ...
Getting good at SQL for interviews can feel like a puzzle. You know the basics, but putting them together in a way that impresses people is another thing entirely. Luckily, there are great tools out ...
Abstract: SQL Injection Attacks (SQLIA) are still a significant security vulnerability, targeting issues in database query validation for intruder access. The research proposes a graph-based ...
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