About Me

Hello, I am an undergraduate student at Ewha Womans University. My current research interest is the evaluation of LLMs, with a particular focus on hallucination detection.

I am currently conducting research on constructing a benchmark for human-face ID preservation and proposing a new evaluation metric that leverages multiple-choice question (MCQ) framework and MLLMs.

If you have any questions about me or want to collaborate with me, please feel free to contact me via email or LinkedIn.

📚 Education

  • Ewha Womans University (Mar. 2023 - Mar. 2027)
    • B.S. in Artificial Intelligence

📄 Publications

[W.1] Minsuh Joo, Hyunsoo Cho (2025). Cleanse: Uncertainty Estimation Approach Using Clustering-based Semantic Consistency in LLMs. In ACL 2025 Workshop (oral) - GEM2 (Generation, Evaluation & Metrics) [slides] [pdf] [arxiv] [code]

[B.1] Yoonseo Chung, Jeonghyun Kim, MiYeon Kim, Minsuh Joo, Hyunsoo Cho (2025). Foundations of LLMs and Financial Applications. Publisher: Finance and Large Language Models, Springer Nature, ISBN: 978-981-96-5832-9.

👩‍💻 Experience

  • Language & Representation Modeling Lab (June 2024 - Aug. 2025)
    • Research intern
    • Hallucination Detection, Decoding Strategy
  • Prometheus: AI Club (Sep. 2025 - Present)
    • Team member
  • Euron: Deep Learning Club (Mar. 2024 - Aug. 2024)
    • Team member
    • Deep learning study & NLP project (Mar. 2024 - July 2024)
  • KanghwaSisters: Reinforcement Learning Club
    • Team member
    • Reinforcement learning study & DQN project
  • Student Council of Department of Artificial Intelligence (Mar. 2023 - Dec. 2024)
    • Planning committee member

🏆 Honors & Awards

  • National Science and Engineering Scholarship (2025)
    • Korea Student Aid Foundation (KOSAF)
  • Top Student in Artificial Intelligence Major (2025)
  • Undergraduate Research Opportunities Program (2024)
  • Second Highest GPA Student of the College (2024)
  • Top Student of the College (2024)

🛠️ Skills

  • Programming Languages: Python, C
  • Database Systems: SQL
  • Data Science & Machine Learning: Pytorch, HuggingFace, numpy, pandas, matplotlib
  • Mathematical & Statistical Tools: Calculus, Linear Algebra
  • Other Tools & Techonologies: LaTeX