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Found 2 papers, 2 papers with code
Structured Prompting: Scaling In-Context Learning to 1,000 Examples
Large language models have exhibited intriguing in-context learning capability, achieving promising zero- and few-shot performance without updating the parameters.
Prototypical Calibration for Few-shot Learning of Language Models
In-context learning of GPT-like models has been recognized as fragile across different hand-crafted templates, and demonstration permutations.
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