Optimization method and system for generating mathematical formula format based on large language model

By building a multi-level scoring and library system, identifying user proficiency and intentions, and dynamically adjusting the generated mathematical formula format, the problems of instability and frequent errors in generating mathematical formulas in large language models are solved, and higher accuracy and user experience are achieved.

CN119647410AActive Publication Date: 2025-03-18BEIJING CORAL REEF INTELLIGENT TECHNOLOGY CO LTD
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Patent Information

Application Number
CN202411790325.4
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-06
Publication Date
2025-03-18
Estimated Expiration
2044-12-06

AI Technical Summary

Technical Problem

When generating mathematical formulas, existing large language models have problems such as unstable output results and output formats, frequent formula errors, and inaccurate analysis that do not meet user expectations.

Method used

Build a proficiency scoring system, intention library, keyword library and multi-level template library, evaluate user proficiency through multi-dimensionality, identify user intentions, dynamically select the best template, and adjust the formula format through format conversion functions to improve the accuracy and stability of the generated mathematical formulas.

Benefits of technology

It improves the accuracy of user intention recognition, ensures that the generated mathematical formulas are more in line with user expectations, reduces the probability of misunderstandings and errors, reduces the workload of user manual corrections, and improves work efficiency and format flexibility.

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Abstract

The invention relates to the field of data processing, in particular to an optimization method and system for generating a mathematical formula format based on a large language model, and the method mainly comprises the steps: constructing a proficiency scoring system, an intention library, a keyword library and a multi-level template library; determining the proficiency level of the user currently using the large language model; based on the intention information and the keyword, obtaining a template matched with the question input text, and generating an initial mathematical formula result; and performing dynamic format conversion processing on the initial mathematical formula result according to a format requirement of a user to obtain a final mathematical formula result. According to the method, the overall experience of a user is improved by improving the stability and accuracy of the large language model when the mathematical formula is generated, and the format of the mathematical formula can be dynamically adjusted according to user requirements, so that the flexibility and practicability are improved.
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