Symbol S_GLUE
LUE is part of the quantity the equation computes from the expression on the right.
Read this term in its guide →Published equation contexts
Why this formula appears here
Wang and colleagues then generalized the single-turn approach across tasks rather than within one, arguing that for language understanding “to be maximally useful, both practically and as a scientific object of study, it must be general: it must be able to process language in a way that is not exclusively tailored to any one specific task or dataset” [ 4 ] . GLUE bundled nine separate tasks — grammatical acceptability, sentiment, paraphrase and similarity judgments, and several varieties of natural-language inference — behind one leaderboard number. That number is worth writing out, because the arithmetic embeds an assumption the field would later revisit: . an unweighted…
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Symbol t
t appears in the bound of this sum. The bound states where the repeated operation starts, ends, or which values it includes.
Read this term in its guide →Symbol s_t
is an input to the expression that computes the quantity on the left.
Read this term in its guide →Denominator: 9
The complete quantity below the fraction bar; it must be nonzero for this division.
Read this term in its guide →Starting index or lower bound: t=1
This label says where the repeated addition, multiplication, or accumulation starts. Read its value or condition together with the article’s description of the index.
Read this term in its guide →Ending index or upper bound: 9
This label says where the repeated addition, multiplication, or accumulation stops. It sets the last term or end of the range.
Read this term in its guide →How to interpret it
With a fixed numerator, increasing a nonzero denominator reduces the fraction. Read it with the definitions, units, and assumptions supplied by the article.
Research cited beside this formula
Published contexts (1)
A symbol can carry a different meaning in another article. Each occurrence keeps its own guide and term definitions.
Equation 1 · Model Evaluation
A History of How We Learned to Evaluate AI Agents
This equation states an equality: the expressions on both sides have the same value under the article’s assumptions.
Wang and colleagues then generalized the single-turn approach across tasks rather than within one, arguing that for language understanding “to be maximally useful, both practically and as a scientific object of study, it must be general: it must be able to process language in a way that is not exclusively tailored to any one specific task or dataset” [ 4 ] . GLUE bundled nine separate tasks — grammatical acceptability, sentiment, paraphrase and similarity judgments, and several varieties of natural-language inference — behind one leaderboard number. That number is worth writing out, because the arithmetic embeds an assumption the field would later revisit: . an unweighted…
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