NLP systems rarely give special consideration to numbers found in text. This starkly
contrasts with the consensus in neuroscience that, in the brain, numbers are represented …

Recent works show that pre-trained language models (PTLMs), such as BERT, possess
certain commonsense and factual knowledge. They suggest that it is promising to use …

While commonsense knowledge acquisition and reasoning has traditionally been a core
research topic in the knowledge representation and reasoning community, recent years …

We present a new probing dataset named PROST: Physical Reasoning about Objects
Through Space and Time. This dataset contains 18,736 multiple-choice questions made …

In this study, we create a CConS (Counter-commonsense Contextual Size comparison)
dataset to investigate how physical commonsense affects the contextualized size …

Two major areas of interest in the era of Large Language Models regard questions of what
do LLMs know, and if and how they may be able to reason, or rather, approximately reason …

Current Artificial Intelligence (AI) methods, most based on deep learning, have facilitated
progress in several fields, including computer vision and natural language understanding …

To understand language, machines need to be cognizant of the implied commonsense
knowledge underlying the text. Observations obtained from real-world scenarios contain …