Verified75% confidenceFactExact time
Zero-shot learning refers to a model making predictions at inference time without relying on any labeled samples for the task, directly based on pre-trained knowledge or external structural information.
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75%
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Long-term
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9/30/2026
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VerifiedA zero-shot model can make predictions directly on a new dataset it has never seen before, without task-specific retraining or fine-tuning.78% similarUnverified零样本能力指模型在未经针对该任务专项训练的情况下直接完成推理，是衡量模型是否内化物理化学规律的试金石77% similarUnverified零样本学习指不提供任何示例，直接以自然语言指令驱动模型完成任务77% similarUnverifiedIn semi-supervised learning in machine learning, unlabeled data usually requires additional assumptions or prior knowledge to be utilized.77% similarUnverifiedZero-shot learning is typically achieved via two pathways: meta-learning and generalization based on structural priors.77% similar
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