dmis-lab/biobert-v1.1

Reported on 3 benchmarks across 3 tasks · 1 paper · 3 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Methodology3 results

Few-Shot LearningonMedConceptsQA
Accuracy· 2019-01-25
25.458
best: 61.911 (gpt-4-0125-preview)
SOTA
BioBERT: a pre-trained biomedical language representation model for biomedical text mining arXiv:1901.08746
Zero-Shot LearningonMedConceptsQA
Accuracy· 2019-01-25
26.151
best: 52.489 (gpt-4-0125-preview)
SOTA
BioBERT: a pre-trained biomedical language representation model for biomedical text mining arXiv:1901.08746
Meta-LearningonMedConceptsQA
Accuracy· 2019-01-25
25.458
best: 61.911 (gpt-4-0125-preview)
SOTA
BioBERT: a pre-trained biomedical language representation model for biomedical text mining arXiv:1901.08746