Web Reference: Sep 23, 2025 · 2. Zero-shot-CoT 零样本思维链(Zero Shot Chain of Thought,Zero-shot-CoT)提示过程是对 CoT prompting 的后续研究,引入了一种非常简单的零样本提示。 他们发现,通过在问题的结尾附加“ Let's think step by step ”这几个词,大语言模型能够生成一个回答问题的思维链。 4. Few-shot 解决VQA问题 文中还验证了CLIP + few-shot learning能给VQA任务带来多少提升,通过在小样本上finetune CLIP模型的部分参数,提升CLIP在zero-shot VQA上的效果。 Feb 24, 2021 · 3.Prototypical Networks for Few-shot Learning 2017 借鉴matching network解决one-shot,原型网络解决few-shot问题,根据zero-shot的方法,构建对于类别的高level表示,通过相同类别的样本embedding相加解决(减少bais),最后使用欧几里得距离判断类别。
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