Demystifying structured data: How to speak an LLM’s native language

Elk Marketing reports that structured data enhances AI understanding, enabling accurate entity recognition and improved ...
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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 ...
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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.
IEEE

Structured KV Cache Selection with RoPE Correction for Efficient Multi-Query Large Table Question Answering

Abstract: The application of Large Language Models to complex reasoning tasks over large-scale, structured data, such as enterprise tables, is becoming increasingly prevalent. However, this ...
IEEE

XiYan-SQL: A Novel Multi-Generator Framework for Text-to-SQL

Abstract: To leverage the advantages of LLM in addressing challenges in the Text-to-SQL task, we present XiYan-SQL, an innovative framework effectively generating and utilizing multiple SQL candidates ...