Multi-stage processing for large language model to answer math questions more accurately

Abstract

Example implementations include a method, apparatus, and computer-readable medium configured for receiving, at an interface between a user and a large language model, an original natural language prompt including a plurality of facts from the user. The implementations further include generating a series of contextual sub-questions based on the original natural language prompt using the large language model. Additionally, the implementations further include providing the contextual sub-questions to the large language model to obtain contextual answers. Additionally, the implementations further include applying the contextual sub-questions against the original natural language prompt with the contextual answers as a refined natural language prompt to the large language model in a reverse order of the series. Additionally, the implementations further include outputting, to the user, a final answer from the large language model to a terminal state of the refined natural language prompt.