Damo NLP

Damo NLP focuses on advancing natural language processing (NLP) through the development and application of cutting-edge models and techniques. Current research emphasizes improving model robustness and honesty, particularly in challenging domains like clinical trial reports and legal argumentation, often leveraging transformer-based architectures and techniques like prompt engineering and knowledge-enhanced learning. This work contributes to broader NLP advancements by pushing the boundaries of model capabilities in complex and nuanced language tasks, with implications for applications ranging from automated information extraction to improved online content moderation.