What question did this study set out to answer?

The aim is to develop a tool using large language models to resolve discrepancies in standards.

March 13, 2026

Developing a tool for resolving standard discrepancies using large language models

Key Points

The aim is to develop a tool using large language models to resolve discrepancies in standards.
Developed a Food Standard Dataset with 1420 national and 100 corporate standards.
Created a user-friendly web application for modification suggestions.
Implemented a technique for efficient information extraction from national standards.
The tool effectively highlights discrepancies between various standards.
Modification suggestions are presented in a human-readable format.
The information extraction technique retrieves relevant content efficiently from standards.

Abstract

This paper presents a useful tool leveraging Large Language Models (LLM) to resolve discrepancies between corporate and national standards. Firstly, we introduce a Food Standard Dataset comprising 1420 Chinese national standards and 100 corporate standards. Secondly, we offer a user-friendly web application to show human-readable modification suggestions. Thirdly, we propose a technique for standard information extraction, which efficiently retrieves relevant information from complete national standards.

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Cite This Study

Li et al. (Tue,) studied this question.

synapsesocial.com/papers/69b3ab9102a1e69014ccc930 https://doi.org/https://doi.org/10.1051/itmconf/20268301019/pdf

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