Jiwoong Sohn

PhD Candidate, ETH Zürich

I'm fortunate to be advised by Michael Moor (Medical AI Lab) and Torsten Hoefler (SPCL). I work on large language models and agentic systems for knowledge-intensive reasoning: post-training, process reward modeling, personalization, retrieval-augmented generation, and test-time strategies. Previously at Yale and Korea University.

jisohn@ethz.ch/ CV/ Google Scholar/ GitHub/ LinkedIn/ X

News

• May 2026Recognized as Gold Reviewer at ICML 2026.
• Apr 2026Process Reward Agents accepted at ICML 2026. See you in Seoul!
• Apr 2026Med-CoReasoner accepted at ACL 2026.
• Oct 2025Invited talk at the 6th SFCNS Congress (Swiss Federation of Clinical Neuro-Societies).
• Aug 2025Med-PRM accepted at EMNLP 2025 (Oral). See you in Suzhou!
• Jul 2025Invited talk at the Krauthammer Lab (UZH & USZ).
• May 2025Started PhD at ETH Zürich.

Selected Publications

bold = me; * equal contribution; † co-corresponding. Full list on Google Scholar.

1. Process Reward Agents for Steering Knowledge-Intensive Reasoning. Jiwoong Sohn*, Tomasz Sternal*, Kenneth Styppa*, Torsten Hoefler†, Michael Moor†. ICML 2026.
2. Med-PRM: Medical Reasoning Models with Stepwise, Guideline-verified Process Rewards. Jaehoon Yun*, Jiwoong Sohn*, Jungwoo Park*, Hyunjae Kim, Xiangru Tang, Yanjun Shao, Yonghoe Koo, Minhyeok Ko, Qingyu Chen, Mark Gerstein, Michael Moor†, Jaewoo Kang†. EMNLP 2025 (Oral).
3. Rationale-Guided Retrieval Augmented Generation for Medical Question Answering. Jiwoong Sohn, Yein Park, Chanwoong Yoon, Sihyeon Park, Hyeon Hwang, Mujeen Sung, Hyunjae Kim†, Jaewoo Kang†. NAACL 2025 (Oral).
4. MedAgentsBench: Benchmarking Thinking Models and Agent Frameworks for Complex Medical Reasoning. Daniel Shao*, Xiangru Tang*, Jiwoong Sohn*, Jiapeng Chen, Jiayi Zhang, Jinyu Xiang, Fang Wu, Yilun Zhao, Chenglin Wu, Wenqi Shi, Arman Cohan, Mark Gerstein. Patterns.
5. Improving Medical Reasoning through Retrieval and Self-Reflection with Retrieval-Augmented Large Language Models. Minbyul Jeong, Jiwoong Sohn, Mujeen Sung†, Jaewoo Kang†. ISMB 2024, Bioinformatics (Oral).
6. Rethinking Retrieval-Augmented Generation for Medicine: A Large-Scale, Systematic Expert Evaluation and Practical Insights. Hyunjae Kim, Jiwoong Sohn, Aidan Gilson, Nicholas Cochran-Caggiano, Serina Applebaum, Heeju Jin, Seihee Park, Yujin Park, Jiyeong Park, Seoyoung Choi, Brittany Alexandra Herrera Contreras, Thomas Huang, Jaehoon Yun, Ethan F. Wei, Roy Jiang, Leah Colucci, Eric Lai, Amisha Dave, Tuo Guo, Maxwell B. Singer, Yonghoe Koo, Ron A. Adelman, James Zou, Andrew Taylor, Arman Cohan, Hua Xu, Qingyu Chen. arXiv:2511.06738 (2025).
7. Small Language Models Learn Enhanced Reasoning Skills from Medical Textbooks. Hyunjae Kim, Hyeon Hwang, Jiwoo Lee, Sihyeon Park, Dain Kim, Taewhoo Lee, Chanwoong Yoon, Jiwoong Sohn, Jungwoo Park, Olga Reykhart, Thomas Fetherston, Donghee Choi, Soo Heon Kwak, Qingyu Chen, Jaewoo Kang. npj Digital Medicine.
8. RadAgent: A tool-using AI agent for stepwise interpretation of chest computed tomography. Mélanie Roschewitz, Kenneth Styppa, Yitian Tao, Jiwoong Sohn, Jean-Benoit Delbrouck, Benjamin Gundersen, Nicolas Deperrois, Christian Bluethgen, Julia Vogt, Bjoern Menze, Farhad Nooralahzadeh, Michael Krauthammer, Michael Moor. arXiv:2604.15231 (2026).
9. Med-CoReasoner: Reducing Language Disparities in Medical Reasoning via Language-Informed Co-Reasoning. Fan Gao, Sherry T. Tong, Jiwoong Sohn, Jiahao Huang, Junfeng Jiang, Ding Xia, Piyalitt Ittichaiwong, Kanyakorn Veerakanjana, Hyunjae Kim, Qingyu Chen, Edison Marrese Taylor, Kazuma Kobayashi, Akiko Aizawa, Irene Li. ACL 2026.

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