publications

2023

  1. impact_of_cooccurrence.png
    Impact of Co-occurrence on Factual Knowledge of Large Language Models
    Cheongwoong Kang, and Jaesik Choi
    In Findings of the Association for Computational Linguistics: EMNLP, 2023

2022

  1. why_do_NLMs.png
    Why Do Neural Language Models Still Need Commonsense Knowledge to Handle Semantic Variations in Question Answering?
    Sunjae Kwon, Cheongwoong Kang, Jiyeon Han, and 1 more author
    arXiv preprint arXiv:2209.00599, 2022

2021

  1. cooperative_MRTA.png
    Cooperative multi-robot task allocation with reinforcement learning
    Bumjin Park, Cheongwoong Kang, and Jaesik Choi
    Applied Sciences, 2021
  2. scheduling_PID.png
    Scheduling PID attitude and position control frequencies for time-optimal quadrotor waypoint tracking under unknown external disturbances
    Cheongwoong Kang, Bumjin Park, and Jaesik Choi
    Sensors, 2021
  3. multi_agent_patrol_areas.png
    Generating Multi-agent Patrol Areas by Reinforcement Learning
    Bumjin Park, Cheongwoong Kang, and Jaesik Choi
    In 2021 21st International Conference on Control, Automation and Systems (ICCAS), 2021

2019

  1. why_do_MNLMs.png
    Why do masked neural language models still need common sense knowledge?
    Sunjae Kwon, Cheongwoong Kang, Jiyeon Han, and 1 more author
    arXiv preprint arXiv:1911.03024, 2019

2018

  1. symbolizing_numbers_nmt.png
    Symbolizing Numbers to Improve Neural Machine Translation
    Cheongwoong Kang, Youngheon Ro, Jisu Kim, and 1 more author
    Journal of Digital Contents Society, 2018