Reasoning with Transformer-based Models: Deep Learning, but Shallow Reasoning

Code

• github.com/dig-team/failbert
  OfficialIn paperpytorch★ 2

Abstract

Recent years have seen impressive performance of transformer-based models on different natural language processing tasks. However, it is not clear to what degree the transformers can reason on natural language. To shed light on this question, this survey paper discusses the performance of transformers on different reasoning tasks, including mathematical reasoning, commonsense reasoning, and logical reasoning. We point out successes and limitations, of both empirical and theoretical nature.

Tasks

Reproductions