Yanjun Gao

According to our database, Yanjun Gao authored at least 39 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Clinical natural language processing for secondary uses.

Yanjun Gao, Diwakar Mahajan, Özlem Uzuner, Meliha Yetisgen

J. Biomed. Informatics, 2024

On the role of the UMLS in supporting diagnosis generation proposed by Large Language Models.

Majid Afshar, Yanjun Gao, Deepak Gupta, Emma Croxford, Dina Demner-Fushman

J. Biomed. Informatics, 2024

Position Paper On Diagnostic Uncertainty Estimation from Large Language Models: Next-Word Probability Is Not Pre-test Probability.

Yanjun Gao, Skatje Myers, Shan Chen, Dmitriy Dligach, Timothy A. Miller, Danielle S. Bitterman, Guanhua Chen, Anoop M. Mayampurath, Matthew M. Churpek, Majid Afshar

CoRR, 2024

Exploring Interdisciplinary Team Collaboration in Clinical NLP Projects Through the Lens of Activity Theory.

Bingsheng Yao, Yao Du, Yue Fu, Xuhai Xu, Yanjun Gao, Hong Yu, Dakuo Wang

CoRR, 2024

Evaluation of Large Language Models for Summarization Tasks in the Medical Domain: A Narrative Review.

Emma Croxford, Yanjun Gao, Nicholas Pellegrino, Karen K. Wong, Graham Wills, Elliot First, Frank J. Liao, Cherodeep Goswami, Brian W. Patterson, Majid Afshar

CoRR, 2024

Lessons Learned on Information Retrieval in Electronic Health Records: A Comparison of Embedding Models and Pooling Strategies.

Skatje Myers, Timothy A. Miller, Yanjun Gao, Matthew M. Churpek, Anoop M. Mayampurath, Dmitriy Dligach, Majid Afshar

CoRR, 2024

When Raw Data Prevails: Are Large Language Model Embeddings Effective in Numerical Data Representation for Medical Machine Learning Applications?

Yanjun Gao, Skatje Myers, Shan Chen, Dmitriy Dligach, Timothy Miller, Danielle S. Bitterman, Matthew M. Churpek, Majid Afshar

CoRR, 2024

Anchored Answers: Unravelling Positional Bias in GPT-2's Multiple-Choice Questions.

Ruizhe Li, Yanjun Gao

CoRR, 2024

Improving Clinical NLP Performance through Language Model-Generated Synthetic Clinical Data.

Shan Chen, Jack Gallifant, Marco Guevara, Yanjun Gao, Majid Afshar, Timothy Miller, Dmitriy Dligach, Danielle S. Bitterman

CoRR, 2024

Learning to Maximize Mutual Information for Chain-of-Thought Distillation.

Xin Chen, Hanxian Huang, Yanjun Gao, Yi Wang, Jishen Zhao, Ke Ding

CoRR, 2024

Panoramic Image Inpainting with Gated Convolution and Contextual Reconstruction Loss.

Li Yu, Yanjun Gao, Farhad Pakdaman, Moncef Gabbouj

Proceedings of the IEEE International Conference on Acoustics, 2024

When Raw Data Prevails: Are Large Language Model Embeddings Effective in Numerical Data Representation for Medical Machine Learning Applications?

Yanjun Gao, Skatje Myers, Shan Chen, Dmitriy Dligach, Timothy A. Miller, Danielle S. Bitterman, Matthew M. Churpek, Majid Afshar

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Learning to Maximize Mutual Information for Chain-of-Thought Distillation.

Xin Chen, Hanxian Huang, Yanjun Gao, Yi Wang, Jishen Zhao, Ke Ding

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Improving model transferability for clinical note section classification models using continued pretraining.

Weipeng Zhou, Meliha Yetisgen, Majid Afshar, Yanjun Gao, Guergana Savova, Timothy A. Miller

J. Am. Medical Informatics Assoc., December, 2023

Progress Note Understanding - Assessment and Plan Reasoning: Overview of the 2022 N2C2 Track 3 shared task.

Yanjun Gao, Dmitriy Dligach, Timothy Miller, Matthew M. Churpek, Özlem Uzuner, Majid Afshar

J. Biomed. Informatics, June, 2023

DR.BENCH: Diagnostic Reasoning Benchmark for Clinical Natural Language Processing.

Yanjun Gao, Dmitriy Dligach, Timothy A. Miller, John R. Caskey, Brihat Sharma, Matthew M. Churpek, Majid Afshar

J. Biomed. Informatics, February, 2023

Leveraging A Medical Knowledge Graph into Large Language Models for Diagnosis Prediction.

Yanjun Gao, Ruizhe Li, John R. Caskey, Dmitriy Dligach, Timothy A. Miller, Matthew M. Churpek, Majid Afshar

CoRR, 2023

Overview of the Problem List Summarization (ProbSum) 2023 Shared Task on Summarizing Patients' Active Diagnoses and Problems from Electronic Health Record Progress Notes.

Yanjun Gao, Dmitriy Dligach, Timothy Miller, Matthew M. Churpek, Majid Afshar

CoRR, 2023

Progress Note Understanding - Assessment and Plan Reasoning: Overview of the 2022 N2C2 Track 3 Shared Task.

Yanjun Gao, Dmitriy Dligach, Timothy A. Miller, Matthew M. Churpek, Özlem Uzuner, Majid Afshar

CoRR, 2023

Overview of the Problem List Summarization (ProbSum) 2023 Shared Task on Summarizing Patients' Active Diagnoses and Problems from Electronic Health Record Progress Notes.

Yanjun Gao, Dmitriy Dligach, Timothy Miller, Majid Afshar

Proceedings of the 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks, 2023

Improving the Transferability of Clinical Note Section Classification Models with BERT and Large Language Model Ensembles.

Weipeng Zhou, Majid Afshar, Dmitriy Dligach, Yanjun Gao, Timothy Miller

Proceedings of the 5th Clinical Natural Language Processing Workshop, 2023

Multi-Task Training with In-Domain Language Models for Diagnostic Reasoning.

Brihat Sharma, Yanjun Gao, Timothy A. Miller, Matthew M. Churpek, Majid Afshar, Dmitriy Dligach

Proceedings of the 5th Clinical Natural Language Processing Workshop, 2023

2022

Analytical Techniques for Developing Argumentative Writing in STEM: A Pilot Study.

Patricia Marybelle Davies, Rebecca J. Passonneau, Smaranda Muresan, Yanjun Gao

IEEE Trans. Educ., 2022

A bibliometric analysis of online faculty professional development in higher education.

Yanjun Gao, Su Luan Wong, Mas Nida Md. Khambari, Nooreen Noordin

Res. Pract. Technol. Enhanc. Learn., 2022

Call for papers: Special issue on clinical natural language processing for secondary use applications.

Meliha Yetisgen, Özlem Uzuner, Yanjun Gao, Diwakar Mahajan

J. Biomed. Informatics, 2022

A scoping review of publicly available language tasks in clinical natural language processing.

Yanjun Gao, Dmitriy Dligach, Leslie Christensen, Samuel Tesch, Ryan Laffin, Dongfang Xu, Timothy A. Miller, Özlem Uzuner, Matthew M. Churpek, Majid Afshar

J. Am. Medical Informatics Assoc., 2022

Summarizing Patients Problems from Hospital Progress Notes Using Pre-trained Sequence-to-Sequence Models.

Yanjun Gao, Dmitriy Dligach, Timothy A. Miller, Dongfang Xu, Matthew M. Churpek, Majid Afshar

CoRR, 2022

Hierarchical Annotation for Building A Suite of Clinical Natural Language Processing Tasks: Progress Note Understanding.

Yanjun Gao, Dmitriy Dligach, Timothy A. Miller, Samuel Tesch, Ryan Laffin, Matthew M. Churpek, Majid Afshar

Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Summarizing Patients' Problems from Hospital Progress Notes Using Pre-trained Sequence-to-Sequence Models.

Yanjun Gao, Dmitriy Dligach, Timothy Miller, Dongfang Xu, Matthew M. Churpek, Majid Afshar

Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021

EVOQUER: Enhancing Temporal Grounding with Video-Pivoted BackQuery Generation.

Yanjun Gao, Lulu Liu, Jason Wang, Xin Chen, Huayan Wang, Rui Zhang

CoRR, 2021

Automated Assessment of Quality and Coverage of Ideas in Students' Source-Based Writing.

Yanjun Gao, Rebecca J. Passonneau

Proceedings of the Artificial Intelligence in Education - 22nd International Conference, 2021

ABCD: A Graph Framework to Convert Complex Sentences to a Covering Set of Simple Sentences.

Yanjun Gao, Ting-Hao Kenneth Huang, Rebecca J. Passonneau

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2019

A Vision Based Detection Method for Narrow Butt Joints and a Robotic Seam Tracking System.

Boce Xue, Baohua Chang, Guodong Peng, Yanjun Gao, Zhijie Tian, Dong Du, Guoqing Wang

Sensors, 2019

Automated Pyramid Summarization Evaluation.

Yanjun Gao, Chen Sun, Rebecca J. Passonneau

Proceedings of the 23rd Conference on Computational Natural Language Learning, 2019

Rubric Reliability and Annotation of Content and Argument in Source-Based Argument Essays.

Yanjun Gao, Alex Driban, Brennan Xavier McManus, Elena Musi, Patricia Marybelle Davies, Smaranda Muresan, Rebecca J. Passonneau

Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications, 2019

2018

PyrEval: An Automated Method for Summary Content Analysis.

Yanjun Gao, Andrew Warner, Rebecca J. Passonneau

Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

Automated Content Analysis: A Case Study of Computer Science Student Summaries.

Yanjun Gao, Patricia Marybelle Davies, Rebecca J. Passonneau

Proceedings of the Thirteenth Workshop on Innovative Use of NLP for Building Educational Applications@NAACL-HLT 2018, 2018

2017

ShopWithMe!: Collaborative Information Searching and Shopping for Online Retail.

Yanjun Gao, Madhu C. Reddy, Bernard J. Jansen

Proceedings of the 50th Hawaii International Conference on System Sciences, 2017

2016

Shop Together, Search Together: Collaborative E-commerce.

Yanjun Gao, Madhu C. Reddy, Bernard J. Jansen

Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, 2016