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:
Jun. 09, 2026

Filed:

Jun. 23, 2023
Applicant:

Amazon Technologies, Inc., Seattle, WA (US);

Inventors:

Mahdi Namazifar, Oakland, CA (US);

Di Jin, Santa Clara, CA (US);

Yang Liu, Los Altos, CA (US);

Devamanyu Hazarika, Sunnyvale, CA (US);

Dilek Hakkani-Tur, Los Altos, CA (US);

Yubin Ge, Champaign, IL (US);

Assignee:

Amazon Technologies, Inc., Seattle, WA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G10L 15/22 (2006.01); G06F 40/295 (2020.01); G10L 15/18 (2013.01); G10L 15/183 (2013.01);
U.S. Cl.
CPC ...
G10L 15/22 (2013.01); G06F 40/295 (2020.01); G10L 15/183 (2013.01);
Abstract

Techniques for constraining the results of a generative language model to valid information using knowledge-grounded documentation. A generative language model may generate invalid results, including compound entities and incorrect entity relations. The techniques include, for a given user inquiry, determining a set of documented information, from a particular knowledge base, that corresponds to the user inquiry. The techniques further include determining a subgraph from a knowledge graph representing the knowledge base, as well as determining a trie data structure representation of the set of documented information. The user inquiry and subgraph are provided as input to a trained generative language model for generating a response to the user inquiry. The techniques include using the trie data structure to validate that the generated response corresponds to real information from the set of documented information.


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