Multiple Choice Question Answering Mcqa On 8
Métriques
Accuracy
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | Accuracy | Paper Title | Repository |
|---|---|---|---|
| BLOOM (few-shot, k=5) | 36 | Galactica: A Large Language Model for Science | - |
| Med-PaLM 2 (ER) | 92 | Towards Expert-Level Medical Question Answering with Large Language Models | - |
| Med-PaLM 2 (CoT + SC) | 89 | Towards Expert-Level Medical Question Answering with Large Language Models | - |
| Med-PaLM 2 (5-shot) | 90 | Towards Expert-Level Medical Question Answering with Large Language Models | - |
| Chinchilla (few-shot, k=5) | 69 | Galactica: A Large Language Model for Science | - |
| GAL 30B (zero-shot) | 70 | Galactica: A Large Language Model for Science | - |
| GAL 120B (zero-shot) | 68 | Galactica: A Large Language Model for Science | - |
| OPT (few-shot, k=5) | 35 | Galactica: A Large Language Model for Science | - |
0 of 8 row(s) selected.