The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Sep. 29, 2026

Filed:

Mar. 04, 2024
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Ting Dai, Tampa, FL (US);

Larisa Shwartz, Greenwich, CT (US);

Yu Deng, Yorktown Heights, NY (US);

Ruchi Mahindru, Elmsford, NY (US);

Prateeti Mohapatra, Bangalore, IN;

Rohan R Arora, Champaign, IL (US);

Chandrasekhar Narayanaswami, Wilton, CT (US);

Pooja Aggarwal, Bengaluru, IN;

Tuan Minh Hoang Trong, Jackson Heights, NY (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 40/30 (2020.01);
U.S. Cl.
CPC ...
G06F 40/30 (2020.01);
Abstract

A method, computer system, and a computer program product for code evaluation are provided. Knowledge bases in first and/or second programming languages are searched to find code and associated natural language explanations that correspond to code generated by a machine learning model. Additionally and/or alternatively, the code generated by the machine learning model undergoes code-to-natural language translation by another machine learning model and text summarization via an additional machine learning model. Machine learning semantic comparison of (A) an original prompt submitted to the first machine learning model to generate the code and (B) a natural language explanation obtained via one or more of the above approaches is performed. The machine learning semantic comparison generates a first semantic correctness score which is presented.


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