US Patent Issued to Google on Jan. 27 for "Learning self-evaluation to improve selective prediction in LLMs" (California, Wisconsin Inventors)

ALEXANDRIA, Va., Jan. 28 -- United States Patent no. 12,536,388, issued on Jan. 27, was assigned to Google LLC (Mountain View, Calif.).

"Learning self-evaluation to improve selective prediction in LLMs" was invented by Jinsung Yoon (San Jose, Calif.), Jiefeng Chen (Madison, Wis.), Sayna Ebrahimi (Los Altos Hills, Calif.) and Sercan Omer Arik (San Francisco).

According to the abstract* released by the U.S. Patent & Trademark Office: "Aspects of the disclosure are directed to methods, systems, and computer readable media for adaptation with self-evaluation to improve selective prediction in large language models (LLMs), generally referred to as ASPIRE. ASPIRE includes training LLMs on a portion of training data from a question answering tas...