Few Shot Learning On Medconceptsqa
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | Accuracy |
|---|---|
| gpt-4-technical-report-1 | 61.911 |
| meditron-70b-scaling-medical-pretraining-for | 25.262 |
| biobert-a-pre-trained-biomedical-language | 25.458 |
| medconceptsqa-open-source-medical-concepts-qa | 25.627 |
| small-language-models-learn-enhanced | 24.942 |
| zephyr-direct-distillation-of-lm-alignment | 25.058 |
| clinical-longformer-and-clinical-bigbird | 25.547 |
| language-models-are-few-shot-learners | 41.476 |
| llama-open-and-efficient-foundation-language-1 | 25.653 |
| biomistral-a-collection-of-open-source | 25.058 |
| meditron-70b-scaling-medical-pretraining-for | 23.787 |
| biomedgpt-open-multimodal-generative-pre | 24.924 |