PubmedBERT(Gu et al., 2022)
Reported on 2 benchmarks across 1 task · 1 paper · 2 SOTA
Note: results are matched by exact model name. Different papers may use the same name for different model variants.
Natural Language Processing2 results
- Dev Set (Acc-%)· 2022-03-27SOTA0.4best: 66 (Meditron-70B (CoT + SC))
- Test Set (Acc-%)· 2022-03-27SOTA0.41best: 0.723 (Med-PaLM 2 (ER))