What is recorded here?
Introduced a broad subject-based multiple-choice test for evaluating pretrained language models and identifying uneven performance and calibration.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
Year follows the 2020 preprint. The benchmark is a test collection, not a measure of general intelligence or validated professional competence; later MMLU variants are separate.
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People and systems
Dan Hendrycks; Collin Burns; Steven Basart; Andy Zou; Mantas Mazeika; Dawn Song; Jacob Steinhardt
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.
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English catalogue narrative
Hendrycks and colleagues: massive multitask language understanding benchmark
Introduced a broad subject-based multiple-choice test for evaluating pretrained language models and identifying uneven performance and calibration.
Scientific scope
Year follows the 2020 preprint. The benchmark is a test collection, not a measure of general intelligence or validated professional competence; later MMLU variants are separate.
Reading status
This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.
People and systems
Dan Hendrycks; Collin Burns; Steven Basart; Andy Zou; Mantas Mazeika; Dawn Song; Jacob Steinhardt
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.