A framework that predicts, per query, whether an LLM can solve it directly, only with demonstrations, or not at all, and uses those predictions for selective in-context learning and curriculum fine-tuning.
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Investigating the Zone of Proximal Development of Language Models for In-Context Learning
A framework that predicts, per query, whether an LLM can solve it directly, only with demonstrations, or not at all, and uses those predictions for selective in-context learning and curriculum fine-tuning.