At&t Intellectual Property I, L.p.

At&t Mobility Ii LLC

Chuanyun Zang

Sheldon Kent Meredith

Mark D Austin

Zachary Meredith

Aspects of the subject disclosure may include systems and methods, for example, including receiving a user input in natural language, retrieving a first answer including a list of a first number of documents relevant to the user input by searching indexed documents in a knowledge base, applying the first answer to a large language model reader, resulting in a second answer, re-ranking the first answer by using the second answer, resulting in a third answer including a re-ranked list of the first number of documents, and generating a final response including the second answer and one or more documents among the third answer.

Knowledge base question-answering system utilizing a large language model output in re-ranking

Aspects of the subject disclosure may include, for example, obtaining a plurality of historical inputs, obtaining a plurality of historical outputs, applying a piecewise linear regression, deep learning algorithm to at least the plurality of historical inputs and the plurality of historical outputs to generate a plurality of predicted inputs, applying a plurality of weightings to the plurality of predicted inputs to generate a plurality of predicted weighted inputs, and applying at least one simulation to the plurality of predicted weighted inputs to generate a plurality of predicted weighted outputs. Other embodiments are disclosed.

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Cumming, GA, United States of America

Chuanyun Zang