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 ...

Turning my attentions to this week’s back page composition, my mind swiftly began to drift like a balsawood raft at the mercy of the high seas, and I ended up thinking about the infinite monkey ...

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 ...

In this paper, we study the pure exploration model with general distribution functions, which means that the reward function of each arm depends on the whole distribution, not only its mean. We adapt ...