Claim · 2020-09-07 · publication · Stated in source · Supported

The paper proposes a test intended to measure the multitask accuracy of text models.

One recorded claim. The claim panel gives its qualification, the source passages with their place in each source, and how it was checked.

What it connects

Measuring Massive Multitask Language Understanding → states its contribution → The paper proposes a test intended to measure the multitask accuracy of text models.

Where it appears

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Claim and evidence

Measuring Massive Multitask Language Understandingstates its contribution ↓The paper proposes a test intended to measure the multitask accuracy of text models.

Machine-checked, not reviewed by an editorStated in sourceSupported

Supporting evidence: primary · 1 source

Date: 2020-09-07 · publication Records dated 2020 →

Scope and limitsThe paper's own description of its contribution; not an assessment of it.

The evidence 01

primary sourceSupports the claim

Measuring Massive Multitask Language Understanding

arXiv · 2020-09-07

Cite the original source

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Source excerpt

“We propose a new test to measure a text model’s multitask accuracy.”

Location in source arXiv v1, PDF p. 1, abstract

Machine-checked · 2026-10-31

Source details and check notes

Authors: Dan Hendrycks; Collin Burns; Steven Basart; Andy Zou; Mantas Mazeika; Dawn Song; Jacob Steinhardt
Version: arXiv:2009.03300v1, submitted 7 September 2020 (UTC). Retrieved for the candidate pack on 2026-10-28 (SHA-256 5a4759cf69b9b4c313d73738c25a96699e4ba5c895c713702d84207f8986e703). The author list is the byline as printed on the first page.
Version date: 2020-09-07
Canonical address: Open the canonical source ↗
Accessed: 2026-10-28
Language: English (en)
Attribution: Dan Hendrycks, Collin Burns, Steven Basart, Andy Zou, Mantas Mazeika, Dawn Song, Jacob Steinhardt, “Measuring Massive Multitask Language Understanding”, 2020-09-07.
Reuse: No open redistribution licence asserted. Bibliographic metadata, editorial paraphrases and short attributed quotations (at most 50 words each). Recheck terms before wider redistribution.
Check notes: Candidate pack passage, key papers (research/key-papers). The quotation (12 words) matched the text retrieved for the candidate pack on 2026-10-28 (research/key-papers/verification.json). Matching ignored differences of whitespace, case, quotation marks, dashes and line-break hyphens, so the source’s typography can differ. A cross-family machine check (2026-10-30, item B058) found the quotation at its locator. No human editorial review.

Status and meaning

Editorial status. Not reviewed by an editor. An exploratory record that no editor has accepted. This status does not say whether a person has read any linked passage. Each evidence record above shows how it was checked.

Relation. A paper or other publication describes its own contribution, quoted from the expression the record names, usually its abstract or introduction. The record is the document’s own description, not an assessment: a claim of priority or novelty it contains is the document’s claim, flagged as such, and says nothing about earlier or later work.

Date. Date of the arXiv version quoted, submitted 7 September 2020 (UTC); later versions may word it differently.

Record ID kp-states-measuring-massive-multitask-language-understanding-2020-1