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.
Patent No.:
Date of Patent:
Jul. 29, 2025
Filed:
Jun. 26, 2023
Applicant:
42maru Inc., Seoul, KR;
Inventors:
Dong Hwan Kim, Seoul, KR;
Woo Tae Jeong, Seongnam-si, KR;
Seanie Lee, Seongnam-si, KR;
Gilje Seong, Seoul, KR;
Assignee:
42Maru Inc., Seoul, KR;
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 3/04 (2023.01); G06F 16/3329 (2025.01); G06F 16/3332 (2025.01); G06F 16/334 (2025.01); G06N 3/045 (2023.01); G06N 3/0455 (2023.01); G06N 3/08 (2023.01); G06N 3/088 (2023.01); G06N 3/094 (2023.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06N 3/0455 (2023.01); G06F 16/3329 (2019.01); G06F 16/3334 (2019.01); G06F 16/3347 (2019.01); G06N 3/045 (2023.01); G06N 3/08 (2013.01); G06N 3/088 (2013.01); G06N 3/094 (2023.01); G06N 20/00 (2019.01);
Abstract
A method of generating a question-answer learning model through adversarial learning may include: sampling a latent variable based on constraints in an input passage; generating an answer based on the latent variable; generating a question based on the answer; and machine-learning the question-answer learning model using a dataset of the generated question and answer, wherein the constraints are controlled so that the latent variable is present in a data manifold while increasing a loss of the question-answer learning model.