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Feb, 2024
从错误中的上下文原则学习
In-Context Principle Learning from Mistakes
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Tianjun Zhang, Aman Madaan, Luyu Gao, Steven Zheng, Swaroop Mishra...
TL;DR
通过学习任务特定的“原则”,在原有的少样本示例基础上,利用上模型在这些示例中产生的错误来帮助解决类似问题并避免常见错误,从而提高大量基准测试的性能。
Abstract
in-context learning
(ICL, also known as
few-shot prompting
) has been the standard method of adapting LLMs to
downstream tasks
, by learning
→