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 ...
In-demand skills include data analysis. It has been predicted that in 2026 businesses will place a high value on analysts who ...
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 ...
Abstract: Modern data processing increasingly relies on both CPU and GPU acceleration to handle large-scale analytical queries efficiently. Our work analyzes and compares in the performance of CPU and ...
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