Dong-Kyum Kim

Publications

Newest first. Citations are on Google Scholar.

2026

  1. Moir: Let the Model Direct Its Own Story for Robust Cross-Domain Knowledge Editing

    Jea Kwon, Jiwon Kim, Dong-Kyum Kim, and Meeyoung Cha

    NeurIPSarXivPaper
  2. AI Engram: In Search of Memory Traces in Artificial Intelligence

    Jea Kwon, Dong-Kyum Kim, Jiwon Kim, Yonghyun Kim, Woong Kook, and Meeyoung Cha

    ICMLOralarXiv
  3. Bilinear representation mitigates reversal curse and enables consistent model editing

    Dong-Kyum Kim, Minsung Kim, Jea Kwon, Nakyeong Yang, and Meeyoung Cha

  4. Erase or Hide? Suppressing Spurious Unlearning Neurons for Robust Unlearning

    Nakyeong Yang, Dong-Kyum Kim, Jea Kwon, Minsung Kim, Kyomin Jung, and Meeyoung Cha

  5. How Training Data Shapes the Use of Parametric and In-Context Knowledge in Language Models

    Minsung Kim, Dong-Kyum Kim, Jea Kwon, Nakyeong Yang, Kyomin Jung, and Meeyoung Cha

2025

  1. Uncovering Emergent Physics Representations Learned In-Context by Large Language Models

    Yeongwoo Song, Jaeyong Bae, Dong-Kyum Kim, and Hawoong Jeong

    arXiv preprintPaper
  2. In Search of the Engram in LLMs: A Neuroscience Perspective on the Memory Functions in AI Models

    Minsung Kim, Jea Kwon, Dong-Kyum Kim, and Meeyoung Cha

    ICLR Blogpost TrackPaper

2024

  1. Spontaneous emergence of rudimentary music detectors in deep neural networks

    Gwangsu Kim, Dong-Kyum Kim, and Hawoong Jeong

    Nature CommunicationsPaper
  2. SUBTLE: An Unsupervised Platform with Temporal Link Embedding that Maps Animal Behavior

    Jea Kwon, Sunpil Kim, Dong-Kyum Kim, Jinhyeong Joo, SoHyung Kim, Meeyoung Cha, and C. Justin Lee

    International Journal of Computer VisionPaper

2023

  1. Transformer as a hippocampal memory consolidation model based on NMDAR-inspired nonlinearity

    Dong-Kyum Kim, Jea Kwon, Meeyoung Cha, and C. Justin Lee

    NeurIPSPaper
  2. Multidimensional entropic bound: Estimator of entropy production for Langevin dynamics with an arbitrary time-dependent protocol

    Sangyun Lee, Dong-Kyum Kim, Jong-Min Park, Won Kyu Kim, Hyunggyu Park, and Jae Sung Lee

    Physical Review ResearchPaper
  3. Neural Classification of Terrestrial Biomes

    Vyacheslav Shen, Dong-Kyum Kim, Elke Zeller, and Meeyoung Cha

    IEEE BigCompPaper

2022

  1. Transformer needs NMDA receptor nonlinearity for long-term memory

    Dong-Kyum Kim, Jea Kwon, Meeyoung Cha, and C. Justin Lee

    NeurIPS Workshop on Memory in Artificial and Real IntelligencePaperPDFVideoPosterSlides
  2. Estimating entropy production with odd-parity state variables via machine learning

    Dong-Kyum Kim, Sangyun Lee, and Hawoong Jeong

    Physical Review ResearchPaperCode
  3. Inferring dissipation maps from videos using convolutional neural networks

    Youngkyoung Bae, Dong-Kyum Kim, and Hawoong Jeong

    Physical Review ResearchPaperCode

2021

  1. Deep reinforcement learning for feedback control in a collective flashing ratchet

    Dong-Kyum Kim and Hawoong Jeong

    Physical Review Research (Letter)PaperCode

2020

  1. Learning Entropy Production via Neural Networks

    Dong-Kyum Kim, Youngkyoung Bae, Sangyun Lee, and Hawoong Jeong

    Physical Review LettersarXivPaperCode
  2. Multi-label classification of historical documents by using hierarchical attention networks

    Dong-Kyum Kim, Byunghwee Lee, Daniel Kim, and Hawoong Jeong

    Journal of the Korean Physical SocietyPaper