PubMedQA: A Dataset for Biomedical Research Question Answering Q Jin, B Dhingra, Z Liu, WW Cohen, X Lu EMNLP, 2019 | 444 | 2019 |
Probing Biomedical Embeddings from Language Models Q Jin, B Dhingra, WW Cohen, X Lu NAACL-RepEval, 2019 | 129 | 2019 |
Neural Models for Reasoning over Multiple Mentions using Coreference B Dhingra, Q Jin, Z Yang, WW Cohen, R Salakhutdinov NAACL, 2018 | 118 | 2018 |
Biomedical Question Answering: A Survey of Approaches and Challenges Q Jin, Z Yuan, G Xiong, Q Yu, H Ying, C Tan, M Chen, S Huang, X Liu, ... ACM Computing Surveys, 2022 | 99 | 2022 |
Opportunities and Challenges for ChatGPT and Large Language Models in Biomedicine and Health S Tian, Q Jin, L Yeganova, PT Lai, Q Zhu, X Chen, Y Yang, Q Chen, ... Briefings in Bioinformatics, 2024 | 67 | 2024 |
GeneGPT: Augmenting Large Language Models with Domain Tools for Improved Access to Biomedical Information Q Jin, Y Yang, Q Chen, Z Lu Bioinformatics, 2024 | 64 | 2024 |
Deep Contextualized Biomedical Abbreviation Expansion Q Jin, J Liu, X Lu ACL-BioNLP, 2019 | 45 | 2019 |
Retrieve, Summarize, and Verify: How will ChatGPT Affect Information Seeking from the Medical Literature? Q Jin, R Leaman, Z Lu Journal of the American Society of Nephrology, 2023 | 40 | 2023 |
AttentionMeSH: Simple, Effective and Interpretable Automatic MeSH Indexer Q Jin, B Dhingra, W Cohen, X Lu EMNLP-BioASQ, 2018 | 39 | 2018 |
Large language models in biomedical natural language processing: benchmarks, baselines, and recommendations Q Chen, J Du, Y Hu, VK Keloth, X Peng, K Raja, R Zhang, Z Lu, H Xu arXiv preprint arXiv:2305.16326, 2023 | 32 | 2023 |
Matching Patients to Clinical Trials with Large Language Models Q Jin, Z Wang, CS Floudas, J Sun, Z Lu arXiv preprint arXiv:2307.15051, 2023 | 28 | 2023 |
MedCPT: Contrastive Pre-trained Transformers with large-scale PubMed search logs for zero-shot biomedical information retrieval Q Jin, W Kim, Q Chen, DC Comeau, L Yeganova, WJ Wilbur, Z Lu Bioinformatics, 2023 | 26 | 2023 |
Chronic Kidney Diseases and Acute Kidney Injury in Patients with COVID-19: Evidence from a Meta-analysis Y Zhou, Q Ren, G Chen, Q Jin, Q Cui, H Luo, K Zheng, Y Qin, X Li Frontiers in Medicine, 2020 | 20 | 2020 |
Biomedical question answering: A comprehensive review Q Jin, Z Yuan, G Xiong, Q Yu, C Tan, M Chen, S Huang, X Liu, S Yu arXiv preprint arXiv:2102.05281, 2021 | 19 | 2021 |
Benchmarking Retrieval-Augmented Generation for Medicine G Xiong*, Q Jin*, Z Lu, A Zhang ACL Findings, 2024 | 15 | 2024 |
DiaKG: An Annotated Diabetes Dataset for Medical Knowledge Graph Construction D Chang, M Chen, C Liu, L Liu, D Li, W Li, F Kong, B Liu, X Luo, J Qi, ... CCKS, 2021 | 15 | 2021 |
Automatic Human-like Mining and Constructing Reliable Genetic Association Database with Deep Reinforcement Learning H Wang, X Liu, Y Tao, W Ye, Q Jin, WW Cohen, EP Xing PSB, 2018 | 15 | 2018 |
A large-scale dataset of patient summaries for retrieval-based clinical decision support systems Z Zhao*, Q Jin*, F Chen, T Peng, S Yu Scientific Data, 2023 | 13* | 2023 |
State-of-the-Art evidence retriever for precision medicine: algorithm development and validation Q Jin, C Tan, M Chen, M Yan, N Zhang, S Huang, X Liu JMIR Medical Informatics, 2022 | 11* | 2022 |
RAMM: Retrieval-augmented Biomedical Visual Question Answering with Multi-modal Pre-training Z Yuan, Q Jin, C Tan, Z Zhao, H Yuan, F Huang, S Huang ACM Multimedia, 2023 | 10 | 2023 |