Hamin Koo

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Hello! I am a Master student in AI at Yonsei University, advised by Prof. Jaehyung Kim in the Machine and Language Learning Lab (ML3).

I’m interested in understanding and controlling how large language models (LLMs) behave in practice. In particular, I study emergent behaviors such as systematic biases, robustness issues, and other unintended patterns. My work focuses on building structured and data-driven methods to analyze and improve the reliability of these models across different settings.

News

Apr 07, 2026 EMCEE is accepted to ACL 2026 as an oral presentation! See you in San Diego 🇺🇸
Jan 26, 2026 AMIS is accepted to ICLR 2026! See you in Rio 🇧🇷

Publications

2026

  1. Multilingual
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    Extracting and Emulsifying Cultural Explanation to Improve Multilingual Capability of LLMs
    Hamin Koo and Jaehyung Kim
    Annual Meeting of the Association for Computational Linguistics (ACL), Oral Presentation, 2026
    PDF Code
  2. Jailbreak, Optimization
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    Align to Misalign: Automatic LLM Jailbreak with Meta-Optimized LLM Judges
    Hamin Koo, Minseon Kim, and Jaehyung Kim
    International Conference on Learning Representations (ICLR), 2026
    PDF Code Website

2024

  1. RAG, Optimization
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    Optimizing Query Generation for Enhanced Document Retrieval in RAG
    Hamin Koo, Minseon Kim, and Sungju Hwang
    Preprint, 2024
    PDF