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  2023 (23)
TransformEHR: transformer-based encoder-decoder generative model to enhance prediction of disease outcomes using electronic health records. Yang, Z.; Mitra, A.; Liu, W.; Berlowitz, D.; and Yu, H. Nature Communications, 14(1): 1–10. November 2023. Number: 1 Publisher: Nature Publishing Group
TransformEHR: transformer-based encoder-decoder generative model to enhance prediction of disease outcomes using electronic health records [link]Paper   doi   link   bibtex   abstract  
NoteChat: A Dataset of Synthetic Doctor-Patient Conversations Conditioned on Clinical Notes. Wang, J.; Yao, Z.; Yang, Z.; Zhou, H.; Li, R.; Wang, X.; Xu, Y.; and Yu, H. October 2023. Number: arXiv:2310.15959 arXiv:2310.15959 [cs]
NoteChat: A Dataset of Synthetic Doctor-Patient Conversations Conditioned on Clinical Notes [link]Paper   link   bibtex   abstract  
Performance of Multimodal GPT-4V on USMLE with Image: Potential for Imaging Diagnostic Support with Explanations. Yang, Z.; Yao, Z.; Tasmin, M.; Vashisht, P.; Jang, W. S.; Ouyang, F.; Wang, B.; Berlowitz, D.; and Yu, H. November 2023. Pages: 2023.10.26.23297629
Performance of Multimodal GPT-4V on USMLE with Image: Potential for Imaging Diagnostic Support with Explanations [link]Paper   doi   link   bibtex   abstract  
SELF-EXPLAIN: Teaching Large Language Models to Reason Complex Questions by Themselves. Zhao, J.; Yao, Z.; Yang, Z.; and Yu, H. November 2023. Number: arXiv:2311.06985 arXiv:2311.06985 [cs] R0-FoMo: Workshop on Robustness of Few-shot and Zero-shot Learning in Foundation Models at NeurIPS 2023.
SELF-EXPLAIN: Teaching Large Language Models to Reason Complex Questions by Themselves [link]Paper   link   bibtex   abstract  
BioInstruct: Instruction Tuning of Large Language Models for Biomedical Natural Language Processing. Tran, H.; Yang, Z.; Yao, Z.; and Yu, H. November 2023. Number: arXiv:2310.19975 arXiv:2310.19975 [cs]
BioInstruct: Instruction Tuning of Large Language Models for Biomedical Natural Language Processing [link]Paper   doi   link   bibtex   abstract  
Context Variance Evaluation of Pretrained Language Models for Prompt-based Biomedical Knowledge Probing. Yao, Z.; Cao, Y.; Yang, Z.; and Yu, H. AMIA Summits on Translational Science Proceedings, 2023: 592–601. June 2023.
Context Variance Evaluation of Pretrained Language Models for Prompt-based Biomedical Knowledge Probing [link]Paper   link   bibtex   abstract  
Extracting Biomedical Factual Knowledge Using Pretrained Language Model and Electronic Health Record Context. Yao, Z.; Cao, Y.; Yang, Z.; Deshpande, V.; and Yu, H. AMIA Annual Symposium Proceedings, 2022: 1188–1197. April 2023.
Extracting Biomedical Factual Knowledge Using Pretrained Language Model and Electronic Health Record Context [link]Paper   link   bibtex   abstract  
UMASS_BioNLP at MEDIQA-Chat 2023: Can LLMs generate high-quality synthetic note-oriented doctor-patient conversations?. Wang, J.; Yao, Z.; Mitra, A.; Osebe, S.; Yang, Z.; and Yu, H. In Naumann, T.; Ben Abacha, A.; Bethard, S.; Roberts, K.; and Rumshisky, A., editor(s), Proceedings of the 5th Clinical Natural Language Processing Workshop, pages 460–471, Toronto, Canada, July 2023. Association for Computational Linguistics
UMASS_BioNLP at MEDIQA-Chat 2023: Can LLMs generate high-quality synthetic note-oriented doctor-patient conversations? [link]Paper   doi   link   bibtex   abstract  
EHRTutor: Enhancing Patient Understanding of Discharge Instructions. Zhang, Z.; Yao, Z.; Zhou, H.; ouyang , F.; and Yu, H. October 2023. To appear in NeurIPS'23 Workshop on Generative AI for Education (GAIED), December, New Orleans
EHRTutor: Enhancing Patient Understanding of Discharge Instructions [link]Paper   doi   link   bibtex   abstract  
Synthetic Imitation Edit Feedback for Factual Alignment in Clinical Summarization. Mishra, P.; Yao, Z.; Chen, S.; Wang, B.; Mittal, R.; and Yu, H. October 2023. NeurIPS 2023 Workshop SyntheticData4ML Accepted
Synthetic Imitation Edit Feedback for Factual Alignment in Clinical Summarization [link]Paper   link   bibtex   abstract  
Improving Summarization with Human Edits. Yao, Z.; Schloss, B. J.; and Selvaraj, S. P. December 2023. EMNLP 2023
Improving Summarization with Human Edits [link]Paper   link   bibtex   abstract  
Intentional Self-Harm Among US Veterans With Traumatic Brain Injury or Posttraumatic Stress Disorder: Retrospective Cohort Study From 2008 to 2017. Rawat, B. P. S.; Reisman, J.; Pogoda, T. K; Liu, W.; Rongali, S.; Aseltine Jr, R. H; Chen, K.; Tsai, J.; Berlowitz, D.; Yu, H.; and Carlson, K. F JMIR Public Health and Surveillance, 9: e42803. July 2023.
Intentional Self-Harm Among US Veterans With Traumatic Brain Injury or Posttraumatic Stress Disorder: Retrospective Cohort Study From 2008 to 2017 [link]Paper   doi   link   bibtex   abstract  
PaniniQA: Enhancing Patient Education Through Interactive Question Answering. Cai, P.; Yao, Z.; Liu, F.; Wang, D.; Reilly, M.; Zhou, H.; Li, L.; Cao, Y.; Kapoor, A.; Bajracharya, A.; Berlowitz, D.; and Yu, H. Transactions of the Association for Computational Linguistics. August 2023. Equal contributions for the first two authors.
PaniniQA: Enhancing Patient Education Through Interactive Question Answering [link]Paper   link   bibtex   abstract  
Revisiting the Architectures like Pointer Networks to Efficiently Improve the Next Word Distribution, Summarization Factuality, and Beyond. Chang, H.; Yao, Z.; Gon, A.; Yu, H.; and McCallum, A. July 2023. ACL 2023, equal contribution from the first two authors.
Revisiting the Architectures like Pointer Networks to Efficiently Improve the Next Word Distribution, Summarization Factuality, and Beyond [link]Paper   link