Yeonsu Kwon
Yeonsu Kwon
Embedded Files
Hi! I am a Ph.D. student in Graduate School of Artificial Intelligence at Korea Advanced Institute of Science and Technology(KAIST), advised by Professor Edward Choi. My research interest is NLP, AI Agent, User simulator and machine learning for healthcare.
Research Interest
Research Interest
Natural Language Processing
Machine Learning for healthcare
AI Agent
User Simulator
Ongoing Projects
Ongoing Projects
Dynamic User Simulator for Medical Insurance Claim Agents ( July 2025 - Present)
Engineered a dynamic, multi-turn dialogue simulation environment to evaluate tool-using LLM agents in the health insurance domain
Established an automated evaluation pipeline employing an LLM-as-a-judge framework to systematically measure agent response accuracy and consistency
Publications (*: same contribution)
Publications (*: same contribution)
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
International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 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
International Conference on Learning Representations (ICLR) 2026
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 Presentation)
Time is Not Enough: Time-Frequency based Explanation for Time-Series Black-Box Models
Hyunseung Chung, Sumin Jo, Yeonsu Kwon, Yohan Jo, Edward Choi
Proc. of International Conference on Information and Knowledge Management (CIKM) 2024
KG-GPT: A General Framework for Reasoning on Knowledge Graphs Using Large Language Models
Jiho Kim, Yeonsu Kwon, Yohan Jo, Edward Choi
Findings in Empirical Methods in Natural Language Processing (EMNLP) 2023
KG-GPT: A General Framework for Reasoning on Knowledge Graphs Using Large Language Models
Jiho Kim, Yeonsu Kwon, Yohan Jo, Edward Choi
Findings in Empirical Methods in Natural Language Processing (EMNLP) 2023
Jiho Kim, Sungjin Park, Yeonsu Kwon, Yohan Jo, James Thorne, Edward Choi
Proc. of Association for Computational Linguistics (ACL) 2023
Open-WikiTable : Dataset for Open Domain Question Answering with Complex Reasoning over Table
Sunjun Kweon, Yeonsu Kwon, Seonhee Cho, Yohan Jo, Edward Choi
Findings in Association for Computational Linguistics (ACL) 2023
Gyubok Lee, Hyeonji Hwang, Seongsu Bae, Yeonsu Kwon, Woncheol Shin, Seongjun Yang, Minjoon Seo, Jong-Yeup Kim, Edward Choi
Proc. of Neural Information Processing Systems (NeurIPS) 2022 Datasets and Benchmarks
Academic Services
Academic Services
Conference Reviewer
Conference on Health, Inference, and Learning (CHIL)
Association for Computational Linguistic (ACL)
Neural Information Processing Systems (NeurIPS)
Page updated
Google Sites
Report abuse