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. 10, 2026

Filed:

May. 17, 2023
Applicant:

Google Llc, Mountain View, CA (US);

Inventors:

Julian Martin Eisenschlos, Zürich, CH;

Francesco Piccinno, Zürich, CH;

Yasemin Altun, Zürich, CH;

Syrine Krichene, Zürich, CH;

Kenton Chiu Tsun Lee, Kirkland, WA (US);

Fangyu Liu, Cambridge, GB;

Mandar Joshi, Seattle, WA (US);

Chenxi Pang, Zürich, CH;

Wenhu Chen, Waterloo, CA;

Assignee:

GOOGLE LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 11/20 (2006.01); G06F 40/40 (2020.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06F 40/40 (2020.01); G06T 11/206 (2013.01); G06N 20/00 (2019.01);
Abstract

Provided is a one-shot solution to visual language reasoning. Example systems described herein decompose the challenge of visual language reasoning into two steps: translation of a graphical depiction of data (e.g., a plot or chart) into text; followed by reasoning over the translated text. In particular, example systems described herein can include a machine-learned visual-to-language conversion model that translates a graphical depiction of a dataset to a set of text descriptive of the dataset. The output of visual-to-language conversion model can then be directly used to prompt a language model, (e.g., a pretrained large language model (LLM)), exploiting the few-shot reasoning capabilities of the language model.


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