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klotz: in-context learning*

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1. Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?

   First, using the demonstrations significantly outperforms the no demonstrations method
   even with small k (k = 4), and performance drop
   from using gold labels to using random labels is
   consistently small across varying k, in the range of
   0.8–1.6%.7
   Interestingly, model performance does
   not increase much as k increases when k ≥ 8, both
   with gold labels and with random labels.

   2024-02-14 Tags: llm, in-context learning, few-shot, papers, arxiv by klotz

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