Commonsense Inference

Commonsense inference focuses on enabling machines to understand and reason with implicit, everyday knowledge not explicitly stated in text or images. Current research emphasizes improving the controllability and diversity of generated inferences, often using large language models and knowledge graphs, and exploring explicit reasoning strategies to enhance the quality and naturalness of outputs in dialogue and question-answering systems. This field is crucial for advancing AI's ability to interact naturally with humans and understand complex situations, with applications ranging from improved conversational AI to more robust information retrieval and knowledge-based systems.