Knowledge Interaction

Knowledge interaction research explores how knowledge is exchanged and utilized between different systems, particularly humans and artificial intelligence. Current efforts focus on developing methods to improve the interpretability and efficiency of AI models by incorporating human knowledge and leveraging structured knowledge representations like knowledge graphs, often within reinforcement learning or parameter-efficient fine-tuning frameworks. This research is crucial for advancing AI capabilities, enabling more robust and explainable systems, and facilitating applications in diverse fields such as drug discovery and personalized medicine.