Mathematical reasoning is a fundamental aspect of human intelligence and is applicable in
various fields, including science, engineering, finance, and everyday life. The development …

Complex reasoning aims to draw a correct inference based on complex rules. As a hallmark
of human intelligence, it involves a degree of explicit reading comprehension, interpretation …

We present DREAM, the first dialogue-based multiple-choice reading comprehension data
set. Collected from English as a Foreign Language examinations designed by human …

While the recent tree-based neural models have demonstrated promising results in
generating solution expression for the math word problem (MWP), most of these models do …

Math word problem (MWP) is a challenging and critical task in natural language processing.
Many recent studies formalize MWP as a generation task and have adopted sequence-to …

Most existing neural models for math word problems exploit Seq2Seq model to generate
solution expressions sequentially from left to right, whose results are far from satisfactory …

Geometry problem solving has attracted much attention in the NLP community recently. The
task is challenging as it requires abstract problem understanding and symbolic reasoning …

The design of automatic solvers to arithmetic math word problems has attracted
considerable attention in recent years and a large number of datasets and methods have …

Solving mathematical word problems (MWPs) automatically is challenging, primarily due to
the semantic gap between human-readable words and machine-understandable logics …

In this paper, we present a novel approach for distilling math word problem solving
capabilities from large language models (LLMs) into smaller, more efficient student models …