Sap Se

Yue Yu

Rebecca Danford

Anil Babu Ankisettipalli

Bhavik Agarwal

Sebastian Schreiber

Aarti Arikatala

Systems and methods select a candidate scenario of a plurality of scenarios in a scenario group associated with a hard level, based on a user query, generate a candidate selection rationale using a first machine learning model and analyze, using a second machine learning model, the user query, the candidate scenario, and the candidate selection rationale to generate a selection decision and selection decision feedback. The systems and methods further, until a selection decision is positive or a maximum number of iterations has been reached, select a new candidate scenario of the plurality of scenarios in the scenario group and generate a new candidate selection rational for based on the user query and the selection decision feedback, using the first machine learning model, and generate a new selection decision and new selection decision feedback based on the user query and new candidate selection rationale, using the second machine learning model.

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Sunnyvale, CA, United States of America

Yue Yu