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The emergence of in-context learning (ICL) is potentially attributed to two major abilities: task recognition (TR) for recognizing the task from demonstrations and utilizing pre-trained priors, and task learning (TL) for learning from demonstrations.
Language models are few-shot learners
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Rethinking the role of demonstrations: What makes in-context learning work?
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