Data Augmentation Techniques for Improving Math Word Problem Solving Performance

This study proposes several data augmentation methods, including rule-based question replacement, rule-based question reversal, synonym replacement, and a novel in-context learning approach, to enrich math word problem datasets and improve the performance of math word problem solvers.