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