Janghoon Han is an NLP researcher and 연구원 at LG AI Research with 8 years of experience focused on conversational language models, instruction tuning, and dialogue systems. He holds a master’s in Natural Language Processing (4.4/4.5) and a bachelor’s in Computer Engineering from 서강대학교, reflecting strong academic grounding and top grades. At LG AI Research he contributes to LLM pretraining and parameter-efficient tuning, blending deep research with practical model optimization. Based in Seoul, he maintains an active project presence (hanjanghoon.github.io) and is known for translating cutting-edge instruction-tuning ideas into scalable experimental pipelines. Colleagues describe him as methodical and results-driven, with a knack for making complex model training workflows reproducible.
Contributions:14 commits, 13 pushes, 1 branch in 3 months
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