Min Gu Kwak

According to our database, Min Gu Kwak authored at least 6 papers between 2025 and 2026.

Collaborative distances:

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

2026

What Makes a Medical Checker Trainable? Diagnosing Signal Collapse and Reward Hacking in Checker-Guided RAG for Biomedical QA.

Yuelyu Ji, Min Gu Kwak, Hang Zhang, Xizhi Wu, Chenyu Li, Yanshan Wang

CoRR, May, 2026

A Scoping Review of LLM-as-a-Judge in Healthcare and the MedJUDGE Framework.

Chenyu Li, Zohaib Akhtar, Min Gu Kwak, Yuelyu Ji, Hang Zhang, Tracey Obi, Yufan Ren, Xizhi Wu, Sonish Sivarajkumar, Harold P. Lehmann, Shyam Visweswaran, Michael J. Becich, Danielle L. Mowery, Renxuan Liu, Haoyang Sun, Yanshan Wang

CoRR, April, 2026

Scaling Medical Reasoning Verification via Tool-Integrated Reinforcement Learning.

Hang Zhang, Ruheng Wang, Yuelyu Ji, Min Gu Kwak, Xizhi Wu, Chenyu Li, Li Zhang, Wenqi Shi, Yifan Peng, Yanshan Wang

CoRR, January, 2026

MedRAGChecker: Claim-Level Verification for Biomedical Retrieval-Augmented Generation.

Yuelyu Ji, Min Gu Kwak, Hang Zhang, Xizhi Wu, Chenyu Li, Yanshan Wang

CoRR, January, 2026

2025

BrainNormalizer: Anatomy-Informed Pseudo-Healthy Brain Reconstruction from Tumor MRI via Edge-Guided ControlNet.

Min Gu Kwak, Yeonju Lee, Hairong Wang, Jing Li

CoRR, November, 2025

Generative Foundation Model for Structured and Unstructured Electronic Health Records.

Sonish Sivarajkumar, Hang Zhang, Yuelyu Ji, Maneesh Bilalpur, Xizhi Wu, Chenyu Li, Min Gu Kwak, Shyam Visweswaran, Yanshan Wang

CoRR, August, 2025