Hyangsuk Min ☕️

Hyangsuk Min

(she/her)

PhD Student

KAIST

Professional Summary

Hyangsuk Min is a PhD student at KAIST, advised by Prof. Hwanjun Song. Her research asks how AI agents stay trustworthy when the information they receive is incomplete, noisy, evolving, or spread across contexts — through data-centric evaluations of how models perceive, structure, remember, and use information, and through memory-enabled agents that reuse past interactions without losing faithfulness. She also studies AI co-scientist systems, testing whether LLMs show researcher-level understanding when reading, comparing, and synthesizing scientific literature.

Education

PhD Industrial Engineering

2024-09-01

Korea Advanced Institute of Science and Technology

MS Graduate School of Data Science

2020-03-01
2022-08-31

Korea Advanced Institute of Science and Technology

BBA Bigdata Analysis and Statistics

2015-03-01
2019-08-31

Kookmin University

Interests

Large Language Models Human AI Alignment Data-Centric AI Text Generation/Evaluation - Summarization Trustworthy AI

Publications

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