Research and Projects

This page shares and details the codes and their contents from the projects and research activities I have conducted. Most of these projects and research are in areas such as natural language processing (NLP), retrieval-augmented generation (RAG) systems, machine learning, and deep learning. You can check out the detailed content and code for each project through the links below.

List of Researches

• [KCC 2024] Improving the Text Summary Quality Through Understanding the Hallucination Level of Summarization Using Large Language Models(LLM을 활용한 요약의 환각 수준 이해를 통한 텍스트 요약 품질 향상)
  • Awarded for Outstanding Paper Presentation(우수발표논문상 수상)

List of Projects

• [Project] Data Driven Decision Optimization

  This project is a study that uses Bayesian Optimization to integrate and evaluate various machine learning models for data-driven decision optimization. It thoroughly covers performance evaluation, model selection, hyperparameter optimization, and presents an approach to prediction and optimization based on actual data.