Feb. 9, 2024, 5:47 a.m. | Weizheng Lu Jiaming Zhang Jing Zhang Yueguo Chen

cs.CL updates on arXiv.org arxiv.org

Tables, typically two-dimensional and structured to store large amounts of data, are essential in daily activities like database queries, spreadsheet calculations, and generating reports from web tables. Automating these table-centric tasks with Large Language Models (LLMs) offers significant public benefits, garnering interest from academia and industry. This survey provides an extensive overview of table tasks, encompassing not only the traditional areas like table question answering (Table QA) and fact verification, but also newly emphasized aspects such as table manipulation and …

academia benefits cs.ai cs.cl daily data database industry language language model language models large language large language model large language models llms overview processing public reports spreadsheet store survey table tables tasks web

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