Logical Reasoning On Big Bench Temporal
Métriques
Accuracy
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | Accuracy | Paper Title | Repository |
|---|---|---|---|
| Bloomberg GPT (few-shot, k=3) | 29.2 | BloombergGPT: A Large Language Model for Finance | - |
| Gopher-280B (few-shot, k=5) | 19.0 | Scaling Language Models: Methods, Analysis & Insights from Training Gopher | |
| OPT 66B (few-shot, k=3) | 23.6 | BloombergGPT: A Large Language Model for Finance | - |
| PaLM 2 (few-shot, k=3, CoT) | 100 | PaLM 2 Technical Report | |
| PaLM 540B (few-shot, k=3) | 39.6 | BloombergGPT: A Large Language Model for Finance | - |
| BLOOM 176B (few-shot, k=3) | 36.8 | BloombergGPT: A Large Language Model for Finance | - |
| Chinchilla-70B (few-shot, k=5) | 32.0 | Training Compute-Optimal Large Language Models | |
| GPT-NeoX (few-shot, k=3) | 21.2 | BloombergGPT: A Large Language Model for Finance | - |
| PaLM 2 (few-shot, k=3, Direct) | 96.4 | PaLM 2 Technical Report |
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