About Our Research

The Applied Machine Learning Lab focuses on research in applied technologies based on deep learning and machine learning. Our mission is to explore how machine learning can be effectively and responsibly integrated into real-world industrial environments. We are particularly interested in building practical solutions that bridge the gap between academic research and industry applications.

Research Areas.

1. NLP(Natural Language Processing)

자연어 기반 알고리즘 및 응용 연구

• Large Language Model
• Misinformation(Ethical AI)
• NLP Task(Classification, NER, etc)

Publications.

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Bridging the Language Gap: Domain-Specific Dataset Construction for Medical LLMs. (Second International Workshop Generalizing from Limited Resources in the Open World (GLOW), IJCAI, 2024 )

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Insurance Question Answering via Single-turn Dialogue Modeling (Second Workshop on When Creative AI Meets Conversational AI, COLING, 2022)

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2. Deep Learning

딥러닝 기반 알고리즘 및 응용 연구

• Data/Text Analysis
• Factor Analysis