Construct · 1 fields · 1 citations

majority label bias: a standalone construct

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

● anchor · a standalone construct Nearest construct by meaning·not indexed

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

Natural language processing

few-shot prompting's skew toward labels that are frequent or appear last among the examples, making in-context accuracy unstable.

In natural language processing, majority label bias refers to few-shot prompting's skew toward labels that are frequent or appear last among the examples, making in-context accuracy unstable. This meaning comes from Zhao (2021) in arXiv.[1]

Unit
Recovery means
Measured by

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

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

Open in Collider Export BibTeX Report this entry

Nearby constructs

accuracy3 fields · 6 citationsjingle · one word, three constructs bias6 fields · 8 citationsjingle · one name, six constructs in-context learning1 fields · 1 citationsanchor · a standalone construct

References

Zhao, T. Z., Wallace, E., Feng, S., Klein, D., & Singh, S. (2021). Calibrate Before Use: Improving Few-Shot Performance of Language Models. arXiv. https://doi.org/10.48550/arxiv.2102.09690

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