Suho Kang

I am an Evaluation & Analysis Engineer at the Semiconductor R&D Center of Samsung Electronics.
Concurrently, I am grateful to work remotely as a research intern mentored by Prof. Yuanyuan Lei at the University of Florida.

I was fortunate to work with Prof. Youngjae Yu at Seoul National University.
I earned my M.Eng. in AI from Yonsei University and had the privilege of working part-time as a research associate under Prof. Kyungwoo Song.

I am broadly interested in reliable, efficient, and trustworthy AI.
My current research focuses on reasoning and replanning with LLMs/MLLMs.

🔭 Publication

• Tracing Mathematical Proficiency Through Problem-Solving Processes
  Jungyang Park∗, Suho Kang∗, Jaewoo Park, Jaehong Kim, Jaewoo Shin, Seonjoon Park, Youngjae Yu
  arXiv preprint (*: Equal contribution) 📄 Paper

• EPLKG: Efficient Prompt Learning with Knowledge Graph
  Yongtaek Lim∗, Suho Kang∗, Yewon Kim∗, Dokyung Yoon, Kyungwoo Song
  PAKDD 2026 (DSFA Session) (*: Equal contribution) 📄 Paper

• Benchmarking Foundation Models on Exceptional Cases: Dataset Creation and Validation
  Suho Kang, Jungyang Park, Joonseo Ha, SoMin Kim, JinHyeong Kim, Subeen Park, Kyungwoo Song
  EMNLP 2024 Workshop: GenBench 📄 Paper
  🏆 Recipient of the .Amazon Travel Scholarship Sponsored by

• Efficient Transfer Learning driven by Layer-wise Features Aggregation
  Chanwoo Kim, Jeyoon Yeom, Joowang Kim, Suho Kang, Kyungwoo Song
  NeurIPS 2024 Workshop: Adaptive Foundation Models 📄 Paper