Sungwon Kim

Research Assistant at Johns Hopkins University

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Hello! I am Sungwon Kim, and I am currently a research assistant at Johns Hopkins University. My current research interest is on interpretability. I really want to know how Large Language Models work internally.

I have graduated with a BS in Computer Science and Applied Mathematics and Statistics from Johns Hopkins in 2024, and a Masters in Computer Science from Johns Hopkins in 2025.

news

Jan 31, 2026 CARDBiomedBench: A Benchmark for Evaluating Large Language Model Performance in Biomedical Research​ has been accepted to The Lancet Digital Health.
Aug 20, 2025 Challenging the Evaluator: LLM Sycophancy Under User Rebuttal was accepted to EMNLP Findings.
May 20, 2025 Graduated with Masters in Computer Science from Johns Hopkins University.
May 23, 2024 Graduated with BS in Computer Science and Applied Mathematics and Statistics from JHU.

latest posts

selected publications

  1. Lancet Digital Health
    CARDBiomedBench: A Benchmark for Evaluating Large Language Model Performance in Biomedical Research
    Owen Bianchi, Maya Willey, Chelsea X. Alvarado, and 21 more authors
    Lancet Digital Health, Jan 2026
  2. EMNLP
    Challenging the Evaluator: LLM Sycophancy Under User Rebuttal
    Sungwon Kim and Daniel Khashabi
    In Findings of the Association for Computational Linguistics: EMNLP 2025, Nov 2025
  3. arXiv
    BiomedSQL: Text-to-SQL for Scientific Reasoning on Biomedical Knowledge Bases
    Mathew J. Koretsky, Maya Willey, Adi Asija, and 8 more authors
    arXiv preprint arXiv:2505.20321, May 2025