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In 2022, researchers from Google Research and Stanford systematically described the phenomenon of emergent abilities for the first time in a paper: when model scale crosses a certain threshold, performance on specific tasks jumps from near-random to significantly above baseline.
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9/6/2026
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UnverifiedIn 2023, Stanford research challenged emergent abilities, pointing out that so-called 'emergence' may be an artifact of the choice of evaluation metrics, and that when re-evaluated using metrics with better continuity, many seemingly abrupt capability jumps actually appear as smooth, gradual improvements.79% similarUnverifiedEmergent abilities refer to the phenomenon where large models suddenly exhibit capabilities that smaller models do not possess after reaching a certain scale threshold, a phenomenon systematically documented by a Google research team in 2022.78% similarVerifiedEmergent ability refers to the phenomenon where, once a model's scale exceeds a certain critical threshold, certain previously absent capabilities suddenly appear and performance undergoes a sharp leap.76% similarUnverified涌现能力指大模型某些能力在特定参数量阈值后突然出现，由Wei et al. 2022年论文系统记录74% similarUnverified在某些任务上，仅因随机种子不同导致的性能波动幅度可能超过某些论文声称的方法创新带来的提升70% similar
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