Publications

Selected publications for viewing. Some work were published during Yanjun’s time as postdoctoral researcher in ICU Data Science Lab, UW-Madison.

Maya Kruse, MS, Shiyue Hu, MS Candidate, Nicolas Derby, MS, Yifu Wu, PhD, Samantha Stonbraker, Bingsheng Yao, Dakuo Wang, Elizabeth Goldberg, Yanjun Gao, PhD (2025). Large Language Models with Temporal Reasoning for Longitudinal Clinical Summarization and Prediction.

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Maya Kruse, MS, Majid Afshar, Saksham Khatwani, MS Candidate, Anoop Mayampurath, Guanhua Chen, Yanjun Gao, PhD (2024). Simple Yet Effective: An Information-Theoretic Approach to Multi-LLM Uncertainty Quantification. In Findings of EMNLP 2024.

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Yanjun Gao, PhD, Skatje Myers, Shan Chen, Dmitriy Dligach, Tim Miller, Danielle Bitterman, Matthew MM Churpek, Majid Afshar (2024). When Raw Data Prevails: Are Large Language Model Embeddings Effective in Numerical Data Representation for Medical Machine Learning Applications?. In Findings of EMNLP 2024.

Ruizhe Li, Yanjun Gao, PhD (2024). Anchored Answers: Unravelling Positional Bias in GPT-2's Multiple-Choice Questions.

Xin Chen, Hanxian Huang, Yanjun Gao, PhD, Yi Wang, Jishen Zhao, Ke Ding (2024). Learning to Maximize Mutual Information for Chain-of-Thought Distillation.

PDF Code Dataset Poster Video Source Document

Yanjun Gao, PhD, Dmitriy Dligach, Timothy Miller, John Caskey, Brihat Sharma, Matthew M Churpek, Majid Afshar (2023). DR. BENCH: Diagnostic Reasoning Benchmark for Clinical Natural Language Processing. JBI.

Yanjun Gao, PhD, Dmitriy Dligach, Timothy Miller, Dongfang Xu, Matthew MM Churpek, Majid Afshar (2022). Summarizing Patients’ Problems from Hospital Progress Notes Using Pre-trained Sequence-to-Sequence Models. In COLING.