Development of an EPIC parallel computing framework to facilitate regional/global gridded crop modeling with multiple scenarios: A case study of the United States. - Won Seok Jang; Yonggwan Lee; Jason C. Neff; Youngbin Im; Sangtae Ha; Luca Doro (Comput. Electron. Agric., 2019)

Integrated environmental modeling for efficient aquifer vulnerability assessment using machine learning. - Won Seok Jang; Bernie A. Engel; Chul Min Yeum (Environ. Model. Softw., 2020)

MedQA-CS: Benchmarking Large Language Models Clinical Skills Using an AI-SCE Framework. - Zonghai Yao; Zihao Zhang; Chaolong Tang; Xingyu Bian; Youxia Zhao; Zhichao Yang 001; Junda Wang; Huixue Zhou; Won Seok Jang; Feiyun Ouyang; Hong Yu 001 (CoRR, 2024)

MCQG-SRefine: Multiple Choice Question Generation and Evaluation with Iterative Self-Critique, Correction, and Comparison Feedback. - Zonghai Yao; Aditya Parashar; Huixue Zhou; Won Seok Jang; Feiyun Ouyang; Zhichao Yang 001; Hong Yu 001 (NAACL (Long Papers), 2025)

Enhancing LLMs for Identifying and Prioritizing Important Medical Jargons from Electronic Health Record Notes Utilizing Data Augmentation. - Won Seok Jang; Sharmin Sultana; Zonghai Yao; Hieu Tran; Zhichao Yang 001; Sunjae Kwon; Hong Yu 001 (CoRR, 2025)

MedReadCtrl: Personalizing medical text generation with readability-controlled instruction learning. - Hieu Tran; Zonghai Yao; Won Seok Jang; Sharmin Sultana; Allen Chang; Yuan Zhang; Hong Yu 001 (CoRR, 2025)