contextual knowledge

New Framework MACR Resolves Knowledge Conflicts in LLMs Using Multi-Agent Reasoning

A research paper proposes MACR, a novel framework for resolving knowledge conflicts in large language models (LLMs). Unlike existing approaches that privilege either internal parametric knowledge or external context, MACR uses an adaptive knowledge assessment and a multi-agent reasoning system to explicitly identify and resolve inconsistencies. Empirical results show MACR significantly outperforms state-of-the-art benchmarks while providing interpretable conflict resolutions.