each rephrased question ˆq(j)
, we use few-shot Chain-of-Thought prompting to generate its reasoning
path ˆr(j)
i . The accuracy of
Complexity-based CoT [18] for answering the rephrased question by GPT-3.5-Turbo is 76.30%,
which is comparable to that of answering the original training questions (80.74%). This suggests that
the quality of rephrased questions is preserved high while the question diversity is improved. We
collect the rephrased questions with correct answers (i.e., ˆa(j)
METAMATH