Hello, I am an undergraduate student at Ewha Womans University. My current research interest is the evaluation of LLM.

I am currently conducting research on constructing a benchmark and framework to diagnose and interpret the effect of diverse factuality enhancement approaches of LLM.

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
  • GPA: 4.29/4.3

📄 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

• AGI Lab (June 2024 - Present)
  • Research intern
  • LLM Evaluation, 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

• LG Aimers 8th AI Hackathon 3rd Prize: Lightweight EXAONE-4.0 (2026)
• National Science and Engineering Scholarship (2025)
  • Korea Student Aid Foundation (KOSAF)
• MIXUP AI Datathon 3rd Prize: Upstage Solar API Prompt Engineering (2025)
• 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