Giving LLMs more in-context examples reduces predictive uncertainty, mainly by lowering epistemic uncertainty, and often improves accuracy.
Chan, Biao Zhang, Aleksandra Faust, and Hugo Larochelle
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Uncertainty Unveiled: Can Exposure to More In-context Examples Mitigate Uncertainty for Large Language Models?
Giving LLMs more in-context examples reduces predictive uncertainty, mainly by lowering epistemic uncertainty, and often improves accuracy.