MARDoc: A Memory-Aware Refinement Agent Framework for Multimodal Long Document QA
Researchers have introduced MARDoc, a novel framework designed to improve question answering for long, multimodal documents. This system utilizes three specialized agents: an Explorer for retrieval, a Refiner for processing interactions into structured memories, and a Reflector for feedback. By employing a dynamic structured memory instead of a continuously growing context, MARDoc aims to reduce noise and preserve critical information for more effective multi-hop reasoning. AI
IMPACT Introduces a new method for handling complex, multimodal documents, potentially improving AI's ability to process and reason over extensive information.