Patents by Inventor Te-Lin Wu

Te-Lin Wu has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Retraining a large language model
    Patent number: 12664375
    Abstract: An indication of a problem associated with a response generated by a first artificial intelligence (AI) language model is received. The first AI language model generates one or more modified responses for the response. The one or more modified responses and some or all of a turn-based conversation that included the response are provided to a second AI language model. The first AI language model is retrained based in part on an output of the second AI language model.
    Type: Grant
    Filed: May 14, 2025
    Date of Patent: June 23, 2026
    Assignee: Character Technologies Inc.
    Inventors: Satyaki Chakraborty, Landon Jonquiere Brittan Smith, Te-Lin Wu
  • Layout-aware multimodal pretraining for multimodal document understanding
    Patent number: 12393768
    Abstract: Systems and methods for document processing that can process and understand the layout, text size, text style, and multimedia of a document can generate more accurate and informed document representations. The layout of a document paired with text size and style can indicate what portions of a document are possibly more important, and the understanding of that importance can help with understanding of the document. Systems and methods utilizing a hierarchical framework that processes the block-level and the document-level of a document can capitalize on these indicators to generate a better document representation.
    Type: Grant
    Filed: December 22, 2020
    Date of Patent: August 19, 2025
    Assignee: GOOGLE LLC
    Inventors: Mingyang Zhang, Cheng Li, Tao Chen, Spurthi Amba Hombaiah, Michael Bendersky, Marc Alexander Najork, Te-Lin Wu
  • Layout-Aware Multimodal Pretraining for Multimodal Document Understanding
    Publication number: 20230222285
    Abstract: Systems and methods for document processing that can process and understand the layout, text size, text style, and multimedia of a document can generate more accurate and informed document representations. The layout of a document paired with text size and style can indicate what portions of a document are possibly more important, and the understanding of that importance can help with understanding of the document. Systems and methods utilizing a hierarchical framework that processes the block-level and the document-level of a document can capitalize on these indicators to generate a better document representation.
    Type: Application
    Filed: December 22, 2020
    Publication date: July 13, 2023
    Inventors: Mingyang Zhang, Cheng Li, Tao Chen, Spurthi Amba Hombaiah, Michael Bendersky, Marc Alexander Najork, Te-Lin Wu