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Common Sense Reasoning On Big Bench Logical
Métriques
Accuracy
Résultats
Résultats de performance de divers modèles sur ce benchmark
| Paper Title | ||
|---|---|---|
| Chinchilla-70B (few-shot, k=5) | 64.1 | Training Compute-Optimal Large Language Models |
| Gopher-280B (few-shot, k=5) | 36.4 | Scaling Language Models: Methods, Analysis & Insights from Training Gopher |
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