About
The task of PubMedQA is to answer research questions with yes/no/maybe (e.g.: Do preoperative statins reduce atrial fibrillation after coronary artery bypass grafting?) using the corresponding abstracts.
For more details about PubMedQA, please refer to this paper:
Dataset
PubMedQA has 1k expert labeled, 61.2k unlabeled and 211.3k artificially generated QA instances.
Please visit our GitHub repository to download the dataset:
Submission
To submit your model, please follow the instructions in the GitHub repository.
Citation
If you use PubMedQA in your research, please cite our paper by:
@inproceedings{jin2019pubmedqa,
title={PubMedQA: A Dataset for Biomedical Research Question Answering},
author={Jin, Qiao and Dhingra, Bhuwan and Liu, Zhengping and Cohen, William and Lu, Xinghua},
booktitle={Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)},
pages={2567--2577},
year={2019}
}
Leaderboard (reasoning-required setting)
| Model | Code | Size | Accuracy (%) | Macro-F1 (%) | |
|---|---|---|---|---|---|
| 1 Nov 28, 2023 |
GPT-4 (Medprompt) Microsoft (Nori et al. 2023) |
NA | 82.0 | NA | |
| 2 May 16, 2023 |
Med-PaLM 2 Google Research & DeepMind (Singhal et al. 2023) |
NA | 81.8 | NA | |
| 3 Nov 27, 2023 |
MEDITRON EPFL (Chen et al. 2023) |
70B | 81.6 | NA | |
| 4 Jul 6, 2023 |
Palmyra-Med Writer Inc. (Kamble et al. 2023) |
40B | 81.1 | NA | |
| 5 Dec 1, 2023 |
AntGLM-Med Ant Group (Li et al. 2023) |
10B | 80.6 | NA | |
| 6 Apr 12, 2023 |
GPT-4-base Microsoft & OpenAI (Nori et al. 2023) |
NA | 80.4 | NA | |
| 7 Mar 4, 2024 |
Claude 3 Anthropic (Anthropic, 2024) |
NA | 79.7 | NA | |
| 8 Jan 11, 2023 |
GPT-3.5 + Z-Code++ Microsoft Azure AI (He et al. 2022) |
175B | 79.6 | 55.8 | |
| 9 Dec 26, 2022 |
Flan-PaLM (3-shot) Google Research & DeepMind (Singhal et al. 2022) |
540B | 79.0 | NA | |
| 10 Dec 20, 2022 |
Codex (5-shot) Technical University of Denmark & Copenhagen University Hospital (Liévin et al. 2022) |
175B | 78.2 | NA | |
| 11 Sep 13, 2019 |
Human Performance University of Pittsburgh & Carnegie Mellon University (Jin et al. 2019) |
NA | 78.0 | 72.2 | |
| 12 Nov 16, 2022 |
Galactica Meta AI (Taylor et al. 2022) |
120B | 77.6 | NA | |
| 13 May 22, 2023 |
GatorTronGPT University of Florida & NVIDIA (Peng et al. 2023) |
20B | 77.6 | NA | |
| 14 Mar 4, 2024 |
MediSwift-XL Cerebras Systems (Thangarasa et al. 2024) |
1.2B | 76.8 | NA | |
| 15 Mar 20, 2023 |
GPT-4 Microsoft & OpenAI (Nori et al. 2023) |
NA | 75.2 | NA | |
| 16 Dec 15, 2022 |
PubMedGPT Stanford University (Bolton et al. 2022) |
2.7B | 74.4 | NA | |
| 17 Oct 17, 2022 |
DRAGON Stanford University & EPFL (Yasunaga et al. 2022) |
360M | 73.4 | NA | |
| 18 Apr 27, 2023 |
PMC-LLaMA Shanghai Jiao Tong University (Wu et al. 2023) |
7B | 73.4 | NA | |
| 19 Mar 29, 2022 |
BioLinkBERT (large) Stanford University (Yasunaga et al. 2022) |
340M | 72.2 | NA | |
| 20 Mar 29, 2022 |
BioLinkBERT (base) Stanford University (Yasunaga et al. 2022) |
110M | 70.2 | NA | |
| 21 Sep 13, 2019 |
BioBERT (multi-phase tuning) University of Pittsburgh & Carnegie Mellon University (Jin et al. 2019) |
110M | 68.1 | 52.7 | |
| 22 June, 2021 |
BioELECTRA SAAMA AI Research Lab (Kanakarajan et al. 2019) |
110M | 64.0 | NA | |
| 23 July 31, 2020 |
PubMedBERT Microsoft Research (Gu et al. 2020) |
110M | 55.8 | NA |