| Issue |
ITM Web Conf.
Volume 83, 2026
2025 International Conference on Information Technology, Education and Management Innovation (ITEMI 2025)
|
|
|---|---|---|
| Article Number | 01019 | |
| Number of page(s) | 6 | |
| DOI | https://doi.org/10.1051/itmconf/20268301019 | |
| Published online | 10 March 2026 | |
Developing a tool for resolving standard discrepancies using large language models
Zhejiang Lab, Hangzhou, China
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
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.
© The Authors, published by EDP Sciences, 2026
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