A three-dimensional static layout scheme generation method based on an LLM supporting iterative correction

The iteratively modified LLM method solves the logical defects and syntax errors that occur when LLM directly generates code, and achieves efficient and accurate generation of 3D static layout schemes.

CN121615456BActive Publication Date: 2026-07-03GUANGDONG UNIV OF TECH
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Patent Information

Application Number
CN202511610998.1
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-11-05
Publication Date
2026-07-03
Estimated Expiration
2045-11-05

AI Technical Summary

Technical Problem

In existing technologies, when structured data is directly converted into executable code using a large language model (LLM), logical defects or syntax errors exist, resulting in insufficient accuracy and reliability in generating 3D static layout schemes.

Method used

An iterative correction-based LLM method is adopted, which evaluates and iteratively corrects the generated operation sequence and executable code through an operation sequence generator and an executable code generator, respectively, to ensure the accuracy and reliability of the output.

Benefits of technology

It improves the accuracy and reliability of generating 3D static layout schemes, ensures that the generated code can be executed correctly, and reduces logical defects and syntax errors.

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Abstract

The application discloses a three-dimensional static layout scheme generation method based on an LLM supporting iterative correction, and comprises the following steps: setting structured data; constructing an LLM, and generating an operation sequence generator and an executable code generator respectively according to the LLM; inputting the structured data into the operation sequence generator for analysis and outputting an operation sequence draft; evaluating the eligibility of the operation sequence draft, and if eligible, determining that the current operation sequence draft is an eligible operation sequence; inputting the eligible operation sequence into the executable code generator for analysis and outputting an executable code draft; and evaluating the eligibility of the executable code draft, and if eligible, determining that the current executable code draft is eligible executable code. The application solves the problem that, in a traditional three-dimensional static layout scheme construction scheme, when structured data is directly converted into executable code with the help of an LLM, the output uncertainty of the LLM leads to logical defects or syntax errors in the generated code.
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Citation Information

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