Verified80% confidenceFactExact time
Emergent ability refers to the phenomenon whereby, once a model's parameter scale surpasses a certain critical threshold, complex capabilities beyond the training objective—such as logical reasoning, code generation, and cross-language transfer—suddenly emerge.
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80%
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Long-term
Relevance
7/16/2026
First Seen
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Related Claims
VerifiedThe emergent capability of large language models refers to the complex reasoning ability that suddenly manifests after the parameter scale surpasses a certain threshold.83% similarUnverified规模扩展（Scaling Law）带来涌现能力，即模型在参数突破某一阈值后突然习得此前未经专门训练的推理、类比与创作能力81% similarVerifiedWhen model scale surpasses a certain critical point, emergent abilities appear, including in-context learning and chain-of-thought reasoning81% similarVerifiedWhen a model's parameter count surpasses a certain critical threshold, capabilities such as reasoning and debugging that are not seen in smaller models emerge, a phenomenon known as Emergent Abilities.79% similarUnverifiedThe fundamental issue of cross-task calibration is that the model's probability output is learned on a specific training distribution; when the input distribution changes, the reliability of the probabilities drifts but the model cannot perceive it.75% similar
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