Elk Marketing reports that structured data enhances AI understanding, enabling accurate entity recognition and improved ...
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 ...
Learn how to structure clear, information-rich content that LLMs can extract, interpret, and cite in AI-driven search.
In-demand skills include data analysis. It has been predicted that in 2026 businesses will place a high value on analysts who ...
Abstract: This research-to-practice WIP paper outlines the development and implementation of an educational project to enhance SQL (Structured Query Language) learning through a series of mystery ...
Database research and development often require a large number of SQL queries for benchmarking purposes. However, acquiring real-world SQL queries is challenging due to privacy concerns, and existing ...
Abstract: Accurate question answering over real spreadsheets remains difficult due to multirow headers, merged cells, and unit annotations that disrupt naive chunking, while rigid SQL views fail on ...
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