Epistemic Reasoning On Big Bench
평가 지표
Accuracy
평가 결과
이 벤치마크에서 각 모델의 성능 결과
모델 이름 | Accuracy | Paper Title | Repository |
|---|---|---|---|
| Chinchilla-70B (few-shot, k=5) | 60.6 | Training Compute-Optimal Large Language Models | |
| Gopher-280B (few-shot, k=5) | 56.4 | Scaling Language Models: Methods, Analysis & Insights from Training Gopher |
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