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SotA/Natural Language Processing/Question Answering/BioASQ

Question Answering on BioASQ

Metric: Accuracy (higher is better)

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#Model↕Accuracy▼Extra DataPaperDate↕Code
1BioLinkBERT (large)94.8NoLinkBERT: Pretraining Language Models with Docum...2022-03-29Code
2GAL 120B (zero-shot)94.3NoGalactica: A Large Language Model for Science2022-11-16Code
3BioLinkBERT (base)91.4NoLinkBERT: Pretraining Language Models with Docum...2022-03-29Code
4BLOOM (zero-shot)91.4NoGalactica: A Large Language Model for Science2022-11-16Code
5PubMedBERT uncased87.56NoDomain-Specific Language Model Pretraining for B...2020-07-31Code
6GPT-485.71No---
7OPT (zero-shot)81.4NoGalactica: A Large Language Model for Science2022-11-16Code