Figure 6 illustrates the performance of the T5
models in the closed and closed adversarial set-
tings. To recall, we have previously established the
absence of emergent abilities in the non-instruction-
tuned variant of T5 across all tasks. Central to our
current inquiry is the observation that the few-shot
setting does not yield performance enhancements
in either the instruction-tuned or non-instruction-
tuned versions. This contrasts starkly with our
findings within the GPT family, where the few-shot
setting of even the instruction-tuned version of the
largest GPT variant (175 billion parameters) con-
sistently outperformed the zero-shot setting. These
findings illustrate that within the T5 models se-
lected by us, model performance directly hinges on
AreEmergentAbilitiesinLarge Language Models just In-Context