Natural Language Expression

Natural language expression research focuses on understanding and improving how humans and machines generate and interpret language, aiming to bridge the gap between human communication and computational understanding. Current research emphasizes improving the calibration and reliability of language models, particularly in generating nuanced expressions of uncertainty and providing explainable outputs, often leveraging transformer architectures and techniques like retrieval-augmented generation. This work is crucial for building more trustworthy and human-centered AI systems across diverse applications, from medical diagnosis to conversational agents, by enhancing the accuracy, transparency, and user experience of language-based technologies.