Alongside huge volumes of research on deep learning models in NLP in the recent years,
there has been much work on benchmark datasets needed to track modeling progress …

More than one hundred benchmarks have been developed to test the commonsense
knowledge and commonsense reasoning abilities of artificial intelligence (AI) systems …

Many facts come with an expiration date, from the name of the President to the basketball
team Lebron James plays for. However, most language models (LMs) are trained on …

Reasoning about time is of fundamental importance. Many facts are time-dependent. For
example, athletes change teams from time to time, and different government officials are …

Large language models have shown astonishing performance on a wide range of reasoning
tasks. In this paper, we investigate whether they could reason about real-world events and …

Modelling and understanding time remains a challenge in contemporary video
understanding models. With language emerging as a key driver towards powerful …

Abstract Knowledge and language understanding of models evaluated through question
answering (QA) has been usually studied on static snapshots of knowledge, like Wikipedia …

Time is an important dimension in our physical world. Lots of facts can evolve with respect to
time. For example, the US President might change every four years. Therefore, it is important …

Recent years have seen impressive performance of transformer-based models on different
natural language processing tasks. However, it is not clear to what degree the transformers …

Everyday conversations require understanding everyday events, which in turn, requires
understanding temporal commonsense concepts interwoven with those events. Despite …