Unverified50% confidenceconcept_definitionExact time
Zero-shot extraction requires no labeled samples and can directly extract the corresponding values based solely on field definitions or Schema descriptions.
1
Sources
50%
Confidence
Long-term
Relevance
10/14/2026
First Seen
Sources
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Related Claims
UnverifiedZero-shot models require no labeled data; simply writing out labels in natural language is enough to produce classification results.75% similarUnverifiedZero-shot prompting refers to providing no examples and relying entirely on textual descriptions.67% similarUnverifiedZero-shot classifiers (such as solutions based on CLIP or NLI) allow users to describe categories in natural language, offering greater flexibility but typically requiring a larger base model.60% similarUnverifiedAnother implementation of zero-shot classification is to directly call instruction-following large language models (such as GPT-4 and Claude), using prompts to describe classification rules and output category labels.58% similar
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