Question Answering On Drop
Métriques
Accuracy
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | Accuracy | Paper Title | Repository |
|---|---|---|---|
| PaLM 540B (Self Consistency) | 78.2 | Large Language Models Can Self-Improve | - |
| PaLM 540B (Self Improvement, Self Consistency) | 83 | Large Language Models Can Self-Improve | - |
| PaLM 540B (Self Improvement, Standard-Prompting) | 71.7 | Large Language Models Can Self-Improve | - |
| PaLM 540B (Standard-Prompting) | 60 | Large Language Models Can Self-Improve | - |
| PaLM 540B (CoT Prompting) | 70.6 | Large Language Models Can Self-Improve | - |
| PaLM 540B (Self Improvement, CoT Prompting) | 76.2 | Large Language Models Can Self-Improve | - |
0 of 6 row(s) selected.