Daeun Kyung

I'm a Ph.D. student at Edlab @ KAIST AI, advised by Prof. Edward Choi. My research focuses on large language models (LLMs) and multimodal learning, with a focus on healthcare applications. I am interested in the full pipeline of AI system development, from curating high-quality datasets to building models that are robust and reliable in real-world settings.

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Published Papers

2026

• ProPerSim: Developing Proactive and Personalized AI Assistants through User-Assistant Simulation
  Jiho Kim, Junseong Choi, Woosog Chay, Daeun Kyung, Yeonsu Kwon, Yohan Jo, Edward Choi
  Proc. of International Conference on Learning Representations (ICLR) 2026
• ECG-Agent: On-Device Tool-Calling Agent for ECG Multi-Turn Dialogue
  Hyunseung Chung, Jungwoo Oh, Daeun Kyung, Jiho Kim, Yeonsu Kwon, Min-Gyu Kim, Edward Choi
  Proc. of International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2026 [code]

2025

• PatientSim: A Persona-Driven Simulator for Realistic Doctor-Patient Interactions
  Daeun Kyung, Hyunseung Chung, Seongsu Bae, Jiho Kim, Jae Ho Sohn, Taerim Kim, Soo Kyung Kim, Edward Choi
  Proc. of Neural Information Processing Systems (NeurIPS) 2025 Datasets and Benchmarks (Spotlight) [code] [pip] [data]
• Towards Predicting Temporal Changes in a Patient's Chest X-ray Images based on Electronic Health Records
  Daeun Kyung, Junu Kim, Tackeun Kim, Edward Choi
  Proc. of Conference on Health, Inference, and Learning (CHIL) 2025 [code]

2024

• EHRCon: Dataset for Checking Consistency between Unstructured Notes and Structured Tables in Electronic Health Records
  Yeonsu Kwon*, Jiho Kim*, Gyubok Lee, Seongsu Bae, Daeun Kyung, Wonchul Cha, Tom Pollard, Alistair Johnson, Edward Choi
  Proc. of Neural Information Processing Systems (NeurIPS) 2024 Datasets and Benchmarks (Spotlight) [code]
• Significantly improving zero-shot X-ray pathology classification via fine-tuning pre-trained image-text encoders
  Jongseong Jang*, Daeun Kyung*, Seung Hwan Kim, Honglak Lee, Kyunghoon Bae, Edward Choi
  Scientific Reports, 14, 23199 (2024)

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
  Proc. of Neural Information Processing Systems (NeurIPS) 2023 Datasets and Benchmarks [data] [code]
• Perspective Projection-Based 3D CT Reconstruction from Biplanar X-rays
  Daeun Kyung*, Kyungmin Jo*, Jaegul Choo, Joonseok Lee, Edward Choi
  ICASSP 2023 (Oral Presentation, Best Student Paper Award) [code]
• Unsupervised Domain Adaptation for 3D Point Clouds by Searched Transformations
  Dongmin Kang, Yeongwoo Nam, Daeun Kyung, Jonghyun Choi
  IEEE Access, Vol. 10, pp. 56901-56913

Preprints

• DialSim: A Real-Time Simulator for Evaluating Long-Term Dialogue Understanding of Conversational Agents
  Jiho Kim, Woosog Chay, Hyeonji Hwang, Daeun Kyung, Hyunseung Chung, Eunbyeol Cho, Yohan Jo, Edward Choi
  arXiv 2024 [code]

• Best Student Paper Award - ICASSP 2023

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