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:
Oct. 20, 2026

Filed:

Nov. 28, 2022
Applicant:

Salesforce, Inc., San Francisco, CA (US);

Inventors:

Hailin Chen, Singapore, SG;

Amrita Saha, Singapore, SG;

Shafiq Rayhan Joty, Singapore, SG;

Chu Hong Hoi, Singapore, SG;

Assignee:

Salesforce, Inc., San Francisco, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 40/284 (2020.01); G06F 18/214 (2023.01); G06F 18/2413 (2023.01); G06F 40/295 (2020.01); G06F 40/40 (2020.01);
U.S. Cl.
CPC ...
G06F 40/284 (2020.01); G06F 18/214 (2023.01); G06F 18/2413 (2023.01); G06F 40/295 (2020.01); G06F 40/40 (2020.01);
Abstract

Embodiments described herein provide label modular prompts for a text classification task. A label modular prompt generator may determine a set of class labels of interest from a set of possible class labels associated with an input text sequence. The label modular prompt generator may generate a plurality of label prompts based on the set of class labels of interest. A first class label and a sequence of soft tokens that are generated based on representations associated with the first class label are concatenated into a first label prompt. The soft tokens are tunable using a plurality of parameters of the label modular prompt generator. The label modular prompt generator may provide an input of the input text sequence prepended with the plurality of label prompts to a pretrained language model. The pretrained language model may generate a task output in response to the input text sequence.


Find Patent Forward Citations

Chen, Hailin. (2026). Systems and methods for text classification using label modular prompts (U.S. Patent No. 12769942). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12769942

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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