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Copy-Paste Language Models

Godey, Nathan et al.
arXiv (All) · Papers
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computation-and-language
Transformers are intuitively considered to be efficient at copying from their inputs. We actually show that the ability of LLMs to copy in context can be improved through explicit modeling. We propose Copy-Paste Language Models (CPLMs), which add a lightweight Copy-Paste head to the conventional lan
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