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:
Jan. 28, 2025

Filed:

Aug. 15, 2023
Applicant:

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

Inventors:

Yohei Ikawa, Kanagawa-ken, JP;

Issei Yoshida, Setagaya-ku, JP;

Sachiko Yoshihama, Kawasaki, JP;

Miki Ishikawa, Yokohama, JP;

Kohichi Kamijoh, Yokohama, JP;

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 40/30 (2020.01); G06F 16/242 (2019.01); G06F 16/33 (2019.01); G06F 16/36 (2019.01); G06F 18/21 (2023.01); G06F 18/22 (2023.01); G06F 18/2321 (2023.01); G06F 40/10 (2020.01); G06F 40/247 (2020.01); G06F 40/289 (2020.01); G06F 40/40 (2020.01); G10L 15/18 (2013.01);
U.S. Cl.
CPC ...
G06F 40/30 (2020.01); G06F 16/242 (2019.01); G06F 16/3344 (2019.01); G06F 16/36 (2019.01); G06F 18/217 (2023.01); G06F 18/22 (2023.01); G06F 18/2321 (2023.01); G06F 40/10 (2020.01); G06F 40/247 (2020.01); G06F 40/289 (2020.01); G06F 40/40 (2020.01); G10L 15/1822 (2013.01);
Abstract

A computer-implemented method is provided for estimating output confidence of a black box Application Programming Interface (API). The method includes generating paraphrases for an input text. The method further includes calculating a distance between the input text and each respective one of the paraphrases. The method also includes sorting the paraphrases in ascending order of the distance. The method additionally includes selecting a top predetermined number of the paraphrases. The method further includes inputting the input text and the selected paraphrases into the API to obtain an output confidence score for each of the input text and the selected paraphrases. The method also includes estimating, by a hardware processor, the output confidence of the input text from a robustness of output scores of the input text and the selected paraphrases.


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