Construct · 1 fields · 1 citations

prompt tuning: a standalone construct

One name. One construct. A landmark on the map.

● anchor · a standalone construct Nearest construct by meaning·not indexed
prompttuning1 CONSTRUCTPrompt tuningLESTER · DEEP LEARNING

A single standalone construct; nearby constructs are located against it in the Collider. Tap a field for its definition, unit, and measures.

Deep learning

adapting a frozen pretrained language model to a task by learning only a short sequence of continuous prompt embeddings prepended to the input.

In deep learning, prompt tuning refers to adapting a frozen pretrained language model to a task by learning only a short sequence of continuous prompt embeddings prepended to the input. This meaning comes from Lester (2021) in Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.[1]

Unit
Recovery means
Measured by

Next

Run it through the Collider, or take the citations with you.

See how prompt tuning sits against neighbouring constructs in the Collider, or export every reference on this page in one click.

Open in ColliderExport BibTeXReport this entry

Nearby constructs

deep learning1 fields · 1 citationsanchor · a standalone constructlearning6 fields · 14 citationsjingle · one name, six constructsmodel3 fields · 3 citationsjingle · one word, three constructs

References

  1. Lester, B., Al-Rfou, R., & Constant, N. (2021). The Power of Scale for Parameter-Efficient Prompt Tuning. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. https://doi.org/10.18653/v1/2021.emnlp-main.243

Cited on this page?

Confirm your construct, or correct us.

If your work is cited behind one of these entries, you know better than we do whether we captured the meaning right. Confirm it, suggest an edit, or dispute it, and your name goes on the entry as an author who has checked it, linked to your ORCID.

Claim your construct