Research Areas
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The Industrial Data Science Lab (IDSL) at Hanyang University, led by Professor Misuk Kim, focuses on developing industrial data analysis technologies based on Natural Language Processing (NLP) and Large Language Models (LLMs).
Our lab conducts practical research on tasks such as ESG information extraction, Conversational AI systems, Safe-AI, Ontology-based Knowledge Graph and Recommender, aiming to create real-world, industry-applicable NLP solutions by combining cutting-edge LLM techniques with traditional NLP methods.
Our lab researches the development and optimization of conversational AI systems based on LLMs. Its work includes hierarchical command processing through multi-level prompting, Retrieval-Augmented Generation (RAG)-based question answering systems, hallucination mitigation techniques, and dialogue state tracking for accurate conversation management. The goal is to develop reliable conversational AI solutions that can be practically applied in industrial settings.
Our lab develops technologies for integrating and structuring various types of data generated in industrial settings. Its research covers the fusion of heterogeneous data with different formats and structures, multimodal data processing involving text, tables, and images, and the construction of knowledge graphs that represent industrial domain knowledge for efficient data utilization.
Our lab develops technologies for automatically extracting and classifying ESG-related information from various text sources such as corporate sustainability reports, news articles, and disclosures. Covering the entire process of ESG information handling, from building Korean ESG datasets to developing domain-specific language models, it provides scalable solutions applicable to both large enterprises and small and medium-sized businesses.