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

Abstract Abstract Visual Reasoning (AVR) problems are commonly used to approximate
human intelligence. They test the ability of applying previously gained knowledge …

Numerical reasoning over hybrid data containing both textual and tabular content (eg,
financial reports) has recently attracted much attention in the NLP community. However …

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 …

Utilizing large language models (LLMs) to compose off-the-shelf visual tools represents a
promising avenue of research for developing robust visual assistants capable of addressing …

Previous math word problem solvers following the encoder-decoder paradigm fail to
explicitly incorporate essential math symbolic constraints, leading to unexplainable and …

Abstract While Math Word Problem (MWP) solving has emerged as a popular field of study
and made great progress in recent years, most existing methods are benchmarked solely on …

The recent algorithms for math word problems (MWP) neglect to use outside knowledge not
present in the problems. Most of them only capture the word-level relationship and ignore to …

In the real-world question answering scenarios, hybrid form combining both tabular and
textual contents has attracted more and more attention, among which numerical reasoning …

Math word problem (MWP) solving is the task of transforming a sequence of natural
language problem descriptions to executable math equations. An MWP solver not only …