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:
Feb. 25, 2025

Filed:

May. 26, 2021
Applicant:

Meta Platforms, Inc., Menlo Park, CA (US);

Inventors:

Michael William Lewis, Seattle, WA (US);

Marjan Ghazvini Nejad, Seattle, WA (US);

Gargi Ghosh, Bellevue, WA (US);

Armen Aghajanyan, Bellevue, WA (US);

Sida Wang, Bellevue, WA (US);

Luke Zettlemoyer, Seattle, WA (US);

Assignee:

Meta Platforms, Inc., Menlo Park, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 40/58 (2020.01); G06F 18/22 (2023.01); G06N 3/048 (2023.01); G06N 3/08 (2023.01);
U.S. Cl.
CPC ...
G06F 40/58 (2020.01); G06F 18/22 (2023.01); G06N 3/048 (2023.01); G06N 3/08 (2013.01);
Abstract

In one embodiment, a method includes accessing a first document, accessing a plurality of second documents, calculating a relevance score for each of the plurality of second documents indicating a degree of relevance of the second document to the first document using an encoder of a machine-learning model, selecting a subset of the second documents based on their corresponding relevance scores, generating a target document by using the machine-learning model to process the subset of second documents and their corresponding relevance scores, and updating parameters of the machine-learning model based on a comparison between the first document and the generated target document.


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