GPT-3 (zero-shot)

Reported on 2 benchmarks across 1 task · 1 paper

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Natural Language Processing2 results

Common Sense ReasoningonARC (Challenge)
Accuracy· 2022-11-16
51.4
best: 96.4 (GPT-4 (few-shot, k=25))
Galactica: A Large Language Model for Science arXiv:2211.09085
Common Sense ReasoningonARC (Easy)
Accuracy· 2022-11-16
68.8
best: 95.2 (ST-MoE-32B 269B (fine-tuned))
Galactica: A Large Language Model for Science arXiv:2211.09085