Method and system for information extraction and aggregation

Abstract

Various methods and processes, apparatuses or systems, and media for using large language models (LLMs) to extract information from regulatory filings and to aggregate the extracted information in order to generate structured responses to user queries are disclosed. The method includes: receiving a query from a user; using a first LLM to transform the query into a set of action items; using a second LLM to generate plans for responding to each action item; using a third LLM to select an optimum plan for executing the set of action items; using a fourth LLM to assemble a set of fifth LLMs to act as expert LLM sub-agents to perform respective tasks based on the optimum plan; obtaining, from each expert LLM sub-agent, a respective output that results from a performance of the corresponding task; and aggregating the outputs into a single response to the query.