Question Answering On Story Cloze
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Model Name | Accuracy | Paper Title | Repository |
|---|---|---|---|
| GPT-3 175B (Few-Shot) | 87.7 | Language Models are Few-Shot Learners | - |
| Neo-6B (QA) | 76.3 | Ask Me Anything: A simple strategy for prompting language models | - |
| PaLM 2-M (one-shot) | 86.7 | PaLM 2 Technical Report | - |
| PaLM 2-S (one-shot) | 85.6 | PaLM 2 Technical Report | - |
| PaLM 2-L (one-shot) | 87.4 | PaLM 2 Technical Report | - |
| Neo-6B (QA + WS) | 87.8 | Ask Me Anything: A simple strategy for prompting language models | - |
| Neo-6B (few-shot) | 51.0 | Ask Me Anything: A simple strategy for prompting language models | - |
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