Commonsense Knowledge

Commonsense knowledge research aims to equip artificial intelligence systems with the everyday understanding that humans possess implicitly. Current research focuses on integrating commonsense into various AI tasks, such as robotics, dialogue systems, and image understanding, often leveraging large language models, graph convolutional networks, and knowledge graphs to represent and reason with this knowledge. This work is crucial for improving AI's reliability, explainability, and ability to interact naturally with humans, ultimately leading to more robust and user-friendly AI applications across numerous domains. The development of new benchmarks and datasets is also a significant focus, enabling more rigorous evaluation and comparison of different approaches.