Bridging Natural Language Processing

Bridging Natural Language Processing (NLP) with other fields aims to leverage interdisciplinary insights to improve AI capabilities and understanding of human cognition. Current research focuses on integrating NLP with neuroscience (e.g., using brain activity to inform NLP models), clinical practice (e.g., improving automated medical diagnosis using NLP and uncertainty quantification), and robotics (e.g., combining large language models with instinctual robot behaviors). This cross-pollination enhances both AI performance and our understanding of human intelligence, leading to advancements in areas such as medical diagnosis, autonomous systems, and cognitive science.