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Figure 9: Exact match accuracy (EMA) for instruction-tuned (IT) and non-instruction-tuned (Non-IT) GPT models
using the closed prompt in the settings of zero-shot (ZS) and few-shot (FS).

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Figure 10: Exact match accuracy (EMA) for instruction-tuned (IT) and non-instruction-tuned (Non-IT) GPT models
using the closed adversarial prompt in the settings of zero-shot (ZS) and few-shot (FS).

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Figure 11: Exact match accuracy (EMA) for instruction-tuned (IT) and non-instruction-tuned (Non-IT) GPT models
using the open prompt in the settings of zero-shot (ZS) and few-shot (FS).

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Figure 12: BERTScore accuracy (BSA) for instruction-tuned (IT) and non-instruction-tuned (Non-IT) GPT models
using the closed prompt in the settings of zero-shot (ZS) and few-shot (FS).

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Figure 13: BERTScore accuracy (BSA) for instruction-tuned (IT) and non-instruction-tuned (Non-IT) GPT models
using the open prompt in the settings of zero-shot (ZS) and few-shot (FS).

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AreEmergentAbilitiesinLarge Language Models just In-Context