Papers
arxiv:2307.08674

TableGPT: Towards Unifying Tables, Nature Language and Commands into One GPT

Published on Jul 17, 2023
ยท Submitted by akhaliq on Jul 18, 2023
#2 Paper of the day
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Abstract

Tables are prevalent in real-world databases, requiring significant time and effort for humans to analyze and manipulate. The advancements in large language models (LLMs) have made it possible to interact with tables using natural language input, bringing this capability closer to reality. In this paper, we present TableGPT, a unified fine-tuned framework that enables LLMs to understand and operate on tables using external functional commands. It introduces the capability to seamlessly interact with tables, enabling a wide range of functionalities such as question answering, data manipulation (e.g., insert, delete, query, and modify operations), data visualization, analysis report generation, and automated prediction. TableGPT aims to provide convenience and accessibility to users by empowering them to effortlessly leverage tabular data. At the core of TableGPT lies the novel concept of global tabular representations, which empowers LLMs to gain a comprehensive understanding of the entire table beyond meta-information. By jointly training LLMs on both table and text modalities, TableGPT achieves a deep understanding of tabular data and the ability to perform complex operations on tables through chain-of-command instructions. Importantly, TableGPT offers the advantage of being a self-contained system rather than relying on external API interfaces. Moreover, it supports efficient data process flow, query rejection (when appropriate) and private deployment, enabling faster domain data fine-tuning and ensuring data privacy, which enhances the framework's adaptability to specific use cases.

Community

Paper author

thanks for the support from the community ;)

-- the authors

Hey, could you elaborate on the Chain of Commands? Sounds promising.

How will it respond to a document that contains both tables and text paragraphs? Will it be able to summarize information from both of them?

https://www.youtube.com/watch?v=v_cfORExneQ

if anybody ever comes back to this page WATCH THIS VIDEO and impletment with TABLE GPT

Are there plans to release the associated codebase on GitHub or another platform? It'd be a valuable resource for the community. Thanks for your contributions!

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