Abstract: Though quite challenging, training a deep neural network for automatically solving Math Word Problems (MWPs) has increasingly attracted attention due to its significance in investigating how ...

It took a series of aviation disasters for safety experts to realize the critical role of working memory when pilots and technicians juggle competing tasks. In some cases, technicians made apparently ...

Some math problems are designed in ways that reward simplicity rather than analytical depth. Research shows that highly intelligent individuals are more likely to overthink these problems, leading to ...

Abstract: Taking several topic words and a math expression as input, the aim of math word problem generation is to generate a problem that can be answered by the given expression and related to these ...