Expert Retrieval

Expert retrieval focuses on efficiently identifying individuals or resources possessing specific expertise within large datasets, aiming to improve knowledge access and collaboration. Current research emphasizes developing more efficient and robust models, such as Mixture-of-Experts (MoE) architectures and graph neural networks, often incorporating techniques like sparse retrieval and expert weighting to handle massive datasets and complex relationships. Addressing biases in evaluation methodologies and improving the explainability of these systems are also key areas of focus, with implications for optimizing knowledge management in organizations and enhancing the reliability of AI-driven decision-making processes.