Logical Reasoning On Big Bench Strategyqa
Métriques
Accuracy
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | Accuracy | Paper Title | Repository |
|---|---|---|---|
| PaLM-62B (few-shot, k=5) | 65.4 | PaLM: Scaling Language Modeling with Pathways | |
| Chinchilla-70B (few-shot, k=5) | 68.3 | Training Compute-Optimal Large Language Models | |
| Gopher-280B (few-shot, k=5) | 61.0 | Scaling Language Models: Methods, Analysis & Insights from Training Gopher | |
| PaLM-540B (few-shot, k=5) | 73.9 | PaLM: Scaling Language Modeling with Pathways |
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