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SOTA
Question Answering
Question Answering On Pubmedqa
Question Answering On Pubmedqa
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Columns
Model Name
Accuracy
Paper Title
Repository
MediSwift-XL
76.8
MediSwift: Efficient Sparse Pre-trained Biomedical Language Models
-
PaLM (8B, Few-shot)
34
Large Language Models Encode Clinical Knowledge
BioGPT(345M)
78.2
BioGPT: Generative Pre-trained Transformer for Biomedical Text Generation and Mining
PaLM (62B, Few-shot)
57.8
Large Language Models Encode Clinical Knowledge
PubMedBERT uncased
55.84
Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing
Claude 3 Opus (5-shot)
75.8
The Claude 3 Model Family: Opus, Sonnet, Haiku
-
Flan-T5-XXL
76.80
Evaluation of large language model performance on the Biomedical Language Understanding and Reasoning Benchmark
-
GAL 120B (zero-shot)
77.6
Galactica: A Large Language Model for Science
Human Performance (single annotator)
78.0
PubMedQA: A Dataset for Biomedical Research Question Answering
BioELECTRA uncased
64.2
BioELECTRA:Pretrained Biomedical text Encoder using Discriminators
BioLinkBERT (base)
70.2
LinkBERT: Pretraining Language Models with Document Links
BLOOM (zero-shot)
73.6
Galactica: A Large Language Model for Science
Flan-PaLM (540B, Few-shot)
79
Large Language Models Encode Clinical Knowledge
Med-PaLM 2 (CoT + SC)
74.0
Towards Expert-Level Medical Question Answering with Large Language Models
Med-PaLM 2 (ER)
75.0
Towards Expert-Level Medical Question Answering with Large Language Models
Flan-PaLM (62B, Few-shot)
77.2
Large Language Models Encode Clinical Knowledge
BioMedGPT-10B
76.1
BioMedGPT: Open Multimodal Generative Pre-trained Transformer for BioMedicine
PaLM (540B, Few-shot)
55
Large Language Models Encode Clinical Knowledge
Med-PaLM 2 (5-shot)
79.2
Towards Expert-Level Medical Question Answering with Large Language Models
BioLinkBERT (large)
72.2
LinkBERT: Pretraining Language Models with Document Links
0 of 29 row(s) selected.
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