Patents by Inventor Hofit BATA

Hofit BATA 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).

  • Modular reasoning, knowledge, and language systems
    Patent number: 12682184
    Abstract: The presently disclosed embodiments may include a computer readable medium including instructions that when executed by one or more processing devices cause the one or more processing devices to perform a method. The method may include receiving a user input, wherein the user input includes a natural language question, using a trained language model to decompose the natural language question into two or more information requests, routing each of the two or more information requests to at least one information resource, receiving two or more information responses from the at least one information resource, wherein the two or more information responses correspond to the two or more information requests, generating a natural language response to the user input based on the two or more information responses and providing the natural language response to the user.
    Type: Grant
    Filed: September 9, 2024
    Date of Patent: July 14, 2026
    Assignee: AI21 LABS
    Inventors: Yoav Shoham, Barak Lenz, Opher Lieber, Yoav Levine, Amnon Shashua, Shai Shalev-Shwartz, Kevin Leyton-Brown, Ehud Karpas, Erez Schwartz, Noam Rozen, Hofit Bata, Gal Shachaf, Dor Muhlgay, Yoel Zeldes, Ori Ram, Itay Dalmedigos, Daniel Jannai-Epstein, Nir Ratner
  • MODULAR REASONING, KNOWLEDGE, AND LANGUAGE SYSTEMS
    Publication number: 20240428017
    Abstract: The presently disclosed embodiments may include a computer readable medium including instructions that when executed by one or more processing devices cause the one or more processing devices to perform a method. The method may include receiving a user input, wherein the user input includes a natural language question, using a trained language model to decompose the natural language question into two or more information requests, routing each of the two or more information requests to at least one information resource, receiving two or more information responses from the at least one information resource, wherein the two or more information responses correspond to the two or more information requests, generating a natural language response to the user input based on the two or more information responses and providing the natural language response to the user.
    Type: Application
    Filed: September 9, 2024
    Publication date: December 26, 2024
    Inventors: Yoav SHOHAM, Barak LENZ, Opher LIEBER, Yoav LEVINE, Amnon SHASHUA, Shai SHALEV-SHWARTZ, Kevin LEYTON-BROWN, Ehud KARPAS, Erez SCHWARTZ, Noam ROZEN, Hofit BATA, Gal SHACHAF, Dor MUHLGAY, Yoel ZELDES, Ori RAM, Itay DALMEDIGOS, Daniel JANNAI-EPSTEIN, Nir RATNER