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Question Answering On Obqa
Metriken
Accuracy
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
| Paper Title | Repository | ||
|---|---|---|---|
| FLAN 137B (zero-shot) | 78.4 | Finetuned Language Models Are Zero-Shot Learners | |
| FLAN 137B (few-shot, k=16) | 78.2 | Finetuned Language Models Are Zero-Shot Learners | |
| LLaMA 65B (zero-shot) | 60.2 | LLaMA: Open and Efficient Foundation Language Models | |
| LLaMA 33B (zero-shot) | 58.6 | LLaMA: Open and Efficient Foundation Language Models | |
| GPT-3 175B (zero-shot) | 57.6 | Language Models are Few-Shot Learners | |
| LLaMA 7B (zero-shot) | 57.2 | LLaMA: Open and Efficient Foundation Language Models | |
| LLaMA 13B (zero-shot) | 56.4 | LLaMA: Open and Efficient Foundation Language Models | |
| PaLM 540B (zero-shot) | 53.4 | PaLM: Scaling Language Modeling with Pathways | |
| PaLM 62B (zero-shot) | 50.4 | PaLM: Scaling Language Modeling with Pathways |
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