Overview

• Chanwoo Park
• Research Intern at SK Telecom, Omnimodal Foundation Model Office
• Currently, I am working on:
  • Dataset for Large Language Models
  • Post-Training for Large Language Models

Work/Research Experience

• Research Intern(2025.11. ~ Current)
  • At SK Telecom
  • Building benchmarks, post-training datasets for Korean LLMs.
• Researcher (2022.11. ~ 2025.10.)
  • At Thunder Research Group
  • Improving model quality with corpus engineering
  • Most Used Languages: C++, Python
  • Advisor: Prof. Jaejin Lee
• TmaxTibero (2022.07. ~ 2022.08.)
  • Summer Internship at DevOps Team
  • Composing Network of DBMS containers and Parallelizing test tasks for Test Automation
  • Most Used Technology: Python Parallel Programming, Shell, Docker, Docker Compose
• Undergraduate Research Opportunities Program (2022.03. ~ 2022.06.)
  • At CSAP Lab
  • Implemented DNN operation with cuda programming apis
  • Evaluated DNN Post-training Quantization results
  • Most Used Languages: C++, Python
  • Advisor: Prof. Bernhard Egger

Publications

2025

• Beyond Line-Level Filtering for the Pretraining Corpora of LLMs
  • Chanwoo Park, Suyoung Park, Yelim Ahn, Jongmin Kim, Jongyeon Park, Jaejin Lee
  • On arXiv: https://arxiv.org/abs/2510.24139
• Ko-MuSR: A Multistep Soft Reasoning Benchmark for LLMs Capable of Understanding Korean
  • Chanwoo Park, Suyoung Park, JiA Kang, Jongyeon Park, Sangho Kim, Hyunji M. Park, Sumin Bae, Mingyu Kang, Jaejin Lee
  • On arXiv: https://arxiv.org/abs/2510.24150
• Enhancing Face Recognition Accuracy for Under-Display Cameras via Image Restoragtion
  • Kyusu Ahn, Chanwoo Park, Jaejin Lee
  • (Distinguished Paper)On Society for Information Display's Display Week 2025
• UDC-VIT: A Real-World Video Dataset for Under-Display Cameras
  • Kyusu Ahn, Jisoo Kim, Hyungyu Lee, Byeonghyeon Ko, Chanwoo Park, Jaejin Lee
  • To Appear on ICCV 2025 : On arXiv: https://arxiv.org/abs/2501.18545
• Integrating Spatial and Frequency Information for Under-Display Camera Image Restoration
  • Kyusu Ahn, Jinpyo Kim, Chanwoo Park, Jisoo Kim, Jaejin Lee
  • On arXiv: https://arxiv.org/abs/2501.18517

2024

• Analysis of Large Language Model Performance According to Korean-English Training Data Ratio in Continual Learning
  • Jinpyo Kim, Gyeongje Cho, Chanwoo Park, Jongwon Park, Jaejin Lee
  • On Korea Software Congress 2024
• Exploring the Impact of Pre-training Corpora on the Performance of Language Models
  • Yujin Jeong, Jaehwan Lee, Chanwoo Park, Donghun Choi, Jaejin Lee
  • On Korea Computer Congress 2024

2023

• UDC-SIT: A Real-World Dataset for Under-Display Cameras
  • Kyusu Ahn, Byeonghyun Ko, Hyungyu Lee, Chanwoo Park, and Jaejin Lee
  • On the 37th Conference on Neural Information Processing Systems, Datasets and Benchmarks
• Applying Influence Range to Under-Display Camera Image Restoration
  • Kyusu Ahn, Byeonghyun Ko, Hyungyu Lee, Chanwoo Park, and Jaejin Lee
  • On the 23rd International Meeting on Information Display

Community Services

• Bacchus (2021.03. ~ 2023.12.)
  • Was in charge of onboarding members and member relations
  • Managed more than 60 machines in the department.
  • Most Used Technology: ansible

Education

• Seoul National University (2023.09. ~ 2025.08.)
  • Master's course in Computer Science and Engineering
  • Advisor: Prof. Jaejin Lee
  • Thesis: Towards Higher Generative Question-Answering Accuracy: Punctuation Mark Pattern-based Line Filtering on Korean Web Text
• Seoul National University (2017.03. ~ 2023.08.)
  • B.A. in Business Administration and Computer Science and Engineering
  • Best Thesis Paper in College of Business Administration
    • Thesis: Analysis of IPO Underpricing and After-Market Price Fluctuation
  • CSE Thesis
    • Thesis: Applying activation recomputation for CNN training
  • Summa Cum Laude
• Hankuk Academy of Foreign Studies (2014.03. ~ 2017.02.)
  • Humanities and Social Science Course

Teaching Experiences

• Foundation of Computing, Tutor (2021.09. ~ 2023.06.)
  • Teaching language: Python
  • Practice session teaching assistant
• Teaching Assistance for CSE Courses
  • Algorithms (2022.09 ~ 2022.12)
  • System Programming (2025.03 ~ 2025.06)

Miscellaneous Experiences

• Server Manager at Thunder Research Group
  • Built/Managed Peta Scale(1.2PB) Distributed File System(Lustre)
  • Managed a GPU Cluster with more than 63 GPU Nodes, 278 GPUs, and 300+ Users