ﬁnetuning on CoT enables zero-shot, which was quantitatively evaluated in Section 4.3. In addition to the
above 160 zero-shot inputs, we include 30 inputs testing few-shot capabilities, which strong language models
without instruction ﬁnetuning have been shown to do well on (Chowdhery et al., 2022).
In this evaluation we compare the PaLM 540B and Flan-PaLM 540B models. For both models, we use
Scaling Instruction-Finetuned Language Models