How Many Demonstrations Do You Need for In-context Learning?

J Chen, L Chen, C Zhu, T Zhou - arXiv preprint arXiv:2303.08119, 2023 - arxiv.org
Large language models (LLMs) are capable to perform complex reasoning by in-context
learning (ICL) when provided with a few input-output demonstrations (demos) and more …
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How Many Demonstrations Do You Need for In-context Learning?

J Chen, L Chen, C Zhu, T Zhou - arXiv e-prints, 2023 - ui.adsabs.harvard.edu
Large language models (LLMs) are capable to perform complex reasoning by in-context
learning (ICL) when provided with a few input-output demonstrations (demos) and more …
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How Many Demonstrations Do You Need for In-context Learning?

J Chen, L Chen, C Zhu, T Zhou - Findings of the Association for …, 2023 - aclanthology.org
Large language models (LLMs) are capable to perform complex reasoning by in-context
learning (ICL) when provided with a few input-output demonstrations (demos) and more …
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How Many Demonstrations Do You Need for In-context Learning?

J Chen, L Chen, C Zhu, T Zhou - … 2023 Conference on Empirical Methods in … - openreview.net
Large language models (LLMs) are capable to perform complex reasoning by in-context
learning (ICL) when provided with a few input-output demonstrations (demos) and more …
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[ОПИСАНИЕ][C] How Many Demonstrations Do You Need for In-context Learning?

J Chen, L Chen, C Zhu, T Zhou
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