Eunbyeol Cho

I am a Ph.D. student at KAIST Graduate School of AI, advised by Professor Edward Choi. My research interests lie in Healthcare AI and Natural Language Processing. I am particularly interested in text-based EHR synthesis, including its real-world applications, evaluation, and the hallucination behavior of generative models.

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Publication

* denotes equal contribution.

K-FinHallu: A Hallucination Detection Benchmark for Multi-Turn RAG in Korean Finance Eunbyeol Cho*, Yunseung Lee*, Mirae Kim, Jeewon Yang, Youngjun Kwak, Edward Choi EMNLP 2026 Findings
Opioid Use as a Predictor of Pancreas Transplant Outcomes Youngmin Ko*, Eunbyeol Cho*, Hye Eun Kwon, Jin-Myung Kim, Sung Shin, Young Hoon Kim, Edward Choi, Byunghyun Choi, Hyunwook Kwon Clinical Transplantation 2026
Generating Multi-Table Time Series EHR from Latent Space with Minimal Preprocessing Eunbyeol Cho, Jiyoun Kim, Minjae Lee, Sungjin Park, Edward Choi NeurIPS 2025
A deep-learning algorithm using real-time collected intraoperative vital sign signals for predicting acute kidney injury after major non-cardiac surgeries: A modelling study Sehoon Park*, Soomin Chung*, Yisak Kim, Sun-Ah Yang, Soie Kwon, Jeong Min Cho, Min Jae Lee, Eunbyeol Cho, Jiwon Ryu, Sejoong Kim, Jeonghwan Lee, Hyung Jin Yoon, Edward Choi, Kwangsoo Kim, Hajeong Lee PLOS Medicine 2025
Publicly Shareable Clinical Large Language Model Built on Synthetic Clinical Notes Sunjun Kweon*, Junu Kim*, Jiyoun Kim, Sujeong Im, Eunbyeol Cho, Seongsu Bae, Jungwoo Oh, Gyubok Lee, Jong Hak Moon, Seng Chan You, Seungjin Baek, Chang Hoon Han, Yoon Bin Jung, Yohan Jo, Edward Choi ACL 2024 Findings
GenHPF: General Healthcare Predictive Framework for Multi-task Multi-source Learning Kyunghoon Hur, Jungwoo Oh, Junu Kim, Jiyoun Kim, Min Jae Lee, Eunbyeol Cho, Seong-Eun Moon, Young-Hak Kim, Louis Atallah, Edward Choi IEEE Journal of Biomedical and Health Informatics (JBHI) 2023
EHRXQA: A Multi-Modal Question Answering Dataset for Electronic Health Records with Chest X-ray Images Seongsu Bae*, Daeun Kyung*, Jaehee Ryu, Eunbyeol Cho, Gyubok Lee, Sunjun Kweon, Jungwoo Oh, Lei Ji, Eric I-Chao Chang, Tackeun Kim, Edward Choi NeurIPS 2023 Datasets & Benchmarks
Rediscovery of CNN's Versatility for Text-based Encoding of Raw Electronic Health Records Eunbyeol Cho*, Min Jae Lee*, Kyunghoon Hur, Jiyoun Kim, Jinsung Yoon, Edward Choi CHIL 2023 (Oral)
No-reference perceptual CT image quality assessment based on a self-supervised learning framework Wonkyeong Lee*, Eunbyeol Cho*, Wonjin Kim, Hyebin Choi, Kyongmin Sarah Beck, Hyun Jung Yoon, Jongduk Baek, Jang-Hwan Choi Machine Learning: Science and Technology 2022
Performance evaluation of image quality metrics for perceptual assessment of low-dose computed tomography images Wonkyeong Lee*, Eunbyeol Cho*, Wonjin Kim, Jang-Hwan Choi SPIE Medical Imaging 2022
Deep convolutional neural network-based automated lesion detection in wireless capsule endoscopy Yejin Jeon*, Eunbyeol Cho*, Sehwa Moon, Seung-Hoon Chae, Hae Young Jo, Tae Oh Kim, Chang Mo Moon, Jang-Hwan Choi IFMIA 2019

Workshops & Preprints

DialSim: A Dialogue Simulator for Evaluating Long-Term Multi-Party Dialogue Understanding of Conversational Agents Jiho Kim, Woosog Chay, Hyeonji Hwang, Daeun Kyung, Hyunseung Chung, Eunbyeol Cho, Yeonsu Kwon, Yohan Jo, Edward Choi ICLR 2026 MemAgents Workshop
Privacy-Preserving Synthetic Data Enhances Postoperative Acute Kidney Injury Prediction in Data-Scarce Clinical Settings: A Multicenter Modeling Study Soie Kwon*, Eunbyeol Cho*, Minjae Lee, Yissak Kim, Sunah Yang, Jeong Min Cho, Sehoon Park, Chung Hee Baek, Jiwon Ryu, Sejoong Kim, Jeonghwan Lee, Ji In Park, Jin Ho Hwang, Ji Eun Kim, Kwangsoo Kim, Hyeong-Jin Yoon, Edward Choi, Hajeong Lee Under Review

Education

Korea Advanced Institute of Science and Technology (KAIST)
Sep 2023 – Present
Ph.D. in Artificial Intelligence
Advisor: Prof. Edward Choi
Korea Advanced Institute of Science and Technology (KAIST)
Sep 2021 – Aug 2023
M.S. in Artificial Intelligence
Advisor: Prof. Edward Choi
Ewha Womans University
Mar 2017 – Aug 2021
B.S. in Mechanical and Biomedical Engineering

Experience

Research Intern at Microsoft Research Asia, Beijing (Mar 2026 – Sep 2026)
Media Computing Group
Mentor: Shujie Liu
AI Engineer at ImagoWorks Inc. (Mar 2020 – Aug 2020)
3D mesh segmentation for dental application
Research Intern at KIST (Jan 2020 – Feb 2020)
3D geometric deep learning for dental scan data
Advisor: Youngjun Kim
Research Intern at Medical AI & CV Lab (Jul 2018 – Aug 2021)
CNN-based lesion detection and medical image quality assessment
Advisor: Jang-Hwan Choi

Academic Activities

Teaching Assistant, KAIST (Fall 2023, 2024, 2025)
Course: Programming for AI
ATW 2025 Oral Presentation (Nov 2025)
Presentation title: Development of an Automated Tacrolimus Dosing Model Using Machine Learning in Kidney Transplant Recipients
KoSAIM Summer School Hands-on Session Instructor (Aug 2023, 2024)
Topic: Chest X-ray Classification using CNN

Honors & Scholarships

1st Prize in Graduation Project & Capstone Design Competition Award (2020)
Developed an AI-based smart mirror for stroke rehabilitation.
2nd Prize in KU Medical Hackathon (2019)
Proposed an AI Psychological Analysis System for mental illness management.
Academic Excellence Scholarship, Ewha Womans University (2018, 2019, 2021)
Top 6% of class, College of Engineering
Scholarship for International Program, Germany (Jan 2018)
Participated in an international field program in biomedical engineering.