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:
Dec. 16, 2025

Filed:

Dec. 19, 2024
Applicant:

The Bank of New York Mellon, New York, NY (US);

Inventors:

Matthew Champlin, Matawan, NJ (US);

Chaz Anthony Darvish, Mcknight, PA (US);

Richard Joseph Comeau, Westborough, MA (US);

Deeya Patel, Ossining, NY (US);

Assignee:

THE BANK OF NEW YORK MELLON, New York, NY (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/00 (2019.01); G06F 16/334 (2025.01); G06F 16/338 (2019.01); G06F 16/34 (2019.01);
U.S. Cl.
CPC ...
G06F 16/345 (2019.01); G06F 16/3344 (2019.01); G06F 16/338 (2019.01);
Abstract

The disclosure relates to a multi-agent framework that includes a plurality of language model (LM) agents that each perform a respective Natural Language Processing (NLP) task to analyze content having natural language text. An LM agent may execute a language model to perform its respective NLP task. For example, to identify target information within content, a first LM agent in the multi-agent framework may generate a summary of the content along with the target information, a second LM agent may extract, independently from the first LM agent, the target information and output reasoning that explains why the target information was extracted, and a third LM agent may verify that the target information was correctly identified based on the output of the first and second LM agents.


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