Bank of America Corporation

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Zhexiao Zhang

Nizar Naitlho

Sushant Hanmant Gosavi

Juned Gulabkhan Inamdar

Megan Lynn Mcguire

Min Kyung Kim

Makesh Krishnan

Systems, computer program products, and methods are described herein for query interface response synthesis via machine learning and progressive query data decomposition. The present disclosure includes receiving a document, parsing retrievable text in the document to identify a query in the retrievable text, decomposing the query, using a generative AI model comprising a large language model, into a sub-query sequence, wherein the sub-query sequence comprises a plurality of sub-queries, the plurality of sub-queries within the sub-query sequence successively increasing in complexity, retrieving, using a retriever, data records corresponding with a user identifier, transmitting the data records to the generative AI model, generating, within a first persistent dialogue session of the generative AI model, successive responses according to the sub-query sequence, and collating the successive responses into collated response data.

System and method for query interface response synthesis via machine learning and progressive query data decomposition

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Solebury, PA, United States of America

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