SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems
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Cited by 80 in LLM reasoning, but placed by its own abstract, which didn’t fit.
Abstract (arXiv)
In the last year, new models and methods for pretraining and transfer learning have driven striking performance improvements across a range of language understanding tasks. The GLUE benchmark, introduced a little over one year ago, offers a single-number metric that summarizes progress on a diverse set of such tasks, but performance on the benchmark has recently surpassed the level of non-expert humans, suggesting limited headroom for further research. In this paper we present SuperGLUE, a new benchmark styled after GLUE with a new set of more difficult language understanding tasks, a software toolkit, and a public leaderboard. SuperGLUE is available at super.gluebenchmark.com.
Key facts. Cited by 1,718 papers in the map (data through 7 Oct 2026). First posted on arXiv 2 May 2019.
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Citing papers per year: 2020: 1; 2021: 251; 2022: 279; 2023: 385; 2024: 362; 2025: 265; 2026: 175.
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