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Many-shot examples and their effect on in-context learning

I’m not convinced many-shot examples degrade performance. Artificial distractor text will, as will long inputs, but many (diverse, reasonable) examples in traditional k-shot ICL should strictly help performance at the (now much lower) expense of latency/cost.

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