EleutherAI
As frontier AI systems are pretrained on web-scale data, test set contamination has become a critical concern for accurately assessing their capabilities. While research has thoroughly investigated the impact of test set contamination on discriminative evaluations like multiple-choice question-answering, comparatively little research has studied the impact of test set contamination on generative evaluations. In this work, we quantitatively assess the effect of test set contamination on generativ
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- Category: open-source software
- Website: https://www.eleuther.ai/
Documented Facts
- Email: contact@eleuther.ai (No linked source recorded for this statement.)
Evidence and Sources
- EleutherAI — Official Website (official)
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- Recorded profile date: 2026-04-23
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AI summary
As frontier AI systems are pretrained on web-scale data, test set contamination has become a critical concern for accurately assessing their capabilities. While research has thoroughly investigated the impact of test set contamination on discriminative evaluations like multiple-choice question-answering, comparatively little research has studied the impact of test set contamination on generative evaluations. In this work, we quantitatively assess the effect of test set contamination on generativ
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