TabularMath: Understanding Math Reasoning over Tables with Large Language Models

ArXi:2505.19563v4 Announce Type: replace Mathematical reasoning has long been a key benchmark for evaluating large language models. Although substantial progress has been made on math word problems, the need for reasoning over tabular data in real-world applications has been overlooked. For instance, applications such as business intelligence demand not only multi-step numerical reasoning with tables but also robustness to incomplete or inconsistent information.