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News/The Few-shot Dilemma: Over-prompting Large Language Models
arxiv
PublishedJuly 28, 2026 at 4:00 AM
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The Few-shot Dilemma: Over-prompting Large Language Models

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arXiv:2509.13196v2 Announce Type: replace Abstract: Over-prompting, a phenomenon where excessive examples in prompts lead to diminished performance in Large Language Models (LLMs), challenges the conventional wisdom about in-context few-shot learning. To investigate this few-shot dilemma, we outline

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