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Large language models (LLMs) can make predictions using parametric knowledge--knowledge encoded in the model weights--or contextual knowledge--knowledge presented in the context.
Language models as knowledge bases?
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Investigating the factual knowledge boundary of large language models with retrieval augmentation
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Can we edit factual knowledge by in-context learning?
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Context-faithful prompting for large language models
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