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Relation extraction (RE) is a crucial task in natural language processing (NLP) that aims to identify and classify relationships between entities mentioned in text.
Language models are few-shot learners
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Compositional Exemplars for In-context Learning
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Gpt-re: In-context learning for relation extraction using large language models
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Larger language models do in-context learning differently
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