Publications

Co-first authors marked with *. Names in bold indicate this site's owner.

Selected

  1. Variational Monte Carlo for Quantum Excited States via Nested Low-Rank Approximation
    M. Jeong*, J. J. Ryu*, S.-Y. Yun, G. W. Wornell
    2026 . Manuscript under review, 2026.
    quantumspectral
  2. From Belief Entrenchment to Robust Reasoning in LLM Agents
    J. Oh*, M. Jeong*, J. Ko, S.-Y. Yun
    2026 . To appear in Transactions of the Association for Computational Linguistics (TACL).
    llm
  3. Efficient Parametric SVD of Koopman Operator for Stochastic Dynamical Systems
    M. Jeong*, J. J. Ryu*, S.-Y. Yun, G. W. Wornell
    Advances in Neural Information Processing Systems, 2025, pp. 25564–25600
    spectral
  4. Robust Streaming PCA
    D. Bienstock*, M. Jeong*, A. Shukla*, S.-Y. Yun*
    Advances in Neural Information Processing Systems, 2022, pp. 4231–4243
    spectral
  5. Preservation of the Global Knowledge by Not-True Distillation in Federated Learning
    G. Lee*, M. Jeong*, Y. Shin, S. Bae, S.-Y. Yun
    Advances in Neural Information Processing Systems, 2022, pp. 38461–38474
    federated learning

All publications

Peer-reviewed

  1. Group-Normalized Implicit Value Optimization for Language Models
    Y. Choi, J. Jang, C. Oh, M. Jeong, D. H. Hwang, K.-E. Kim
    The Fourteenth International Conference on Learning Representations (ICLR), 2026
    llm
  2. From Belief Entrenchment to Robust Reasoning in LLM Agents
    J. Oh*, M. Jeong*, J. Ko, S.-Y. Yun
    2026 . To appear in Transactions of the Association for Computational Linguistics (TACL).
    llm
  3. DPAIL: Training Diffusion Policy for Adversarial Imitation Learning without Policy Optimization
    Y. Choi, M. Jeong, S. Um, K.-E. Kim
    Advances in Neural Information Processing Systems, 2025, pp. 6206–6232
    decision making
  4. Efficient Parametric SVD of Koopman Operator for Stochastic Dynamical Systems
    M. Jeong*, J. J. Ryu*, S.-Y. Yun, G. W. Wornell
    Advances in Neural Information Processing Systems, 2025, pp. 25564–25600
    spectral
  5. FedDr+: Stabilizing Dot-regression with Global Feature Distillation for Federated Learning
    S. Kim, M. Jeong, S. Kim, S. Cho, S. Ahn, S.-Y. Yun
    Transactions on Machine Learning Research, 2025
    federated learning
  6. Hard Prompts Made Interpretable: Sparse Entropy Regularization for Prompt Tuning with RL
    Y. Choi, S. Bae, S. Ban, M. Jeong, C. Zhang, L. Song, L. Zhao, J. Bian, K.-E. Kim
    Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024, pp. 8252–8271
    llm
  7. BAPO: Base-Anchored Preference Optimization for Overcoming Forgetting in Large Language Models Personalization
    G. Lee, M. Jeong, Y. Kim, H. Jung, J. Oh, S. Kim, S.-Y. Yun
    Findings of the Association for Computational Linguistics: EMNLP 2024, 2024, pp. 6804–6820
    llm
  8. FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in Federated Learning
    G. Lee, M. Jeong, S. Kim, J. Oh, S.-Y. Yun
    Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024, pp. 12512–12522
    federated learning
  9. Contextual Linear Bandits under Noisy Features: Towards Bayesian Oracles
    J.-H. Kim, S.-Y. Yun, M. Jeong, J. Nam, J. Shin, R. Combes
    Proceedings of The 26th International Conference on Artificial Intelligence and Statistics (AISTATS), 2023, pp. 1624–1645
    decision making
  10. Revisiting Intermediate Layer Distillation for Compressing Language Models: An Overfitting Perspective
    J. Ko, S. Park, M. Jeong, S. Hong, E. Ahn, D.-S. Chang, S.-Y. Yun
    Findings of the Association for Computational Linguistics: EACL 2023, 2023, pp. 158–175
    llm
  11. Bayesian Multi-Task Transfer Learning for Soft Prompt Tuning
    H. Lee*, M. Jeong*, S.-Y. Yun, K.-E. Kim
    Findings of the Association for Computational Linguistics: EMNLP 2023, 2023, pp. 4942–4958
    llm
  12. Toward Risk-based Optimistic Exploration for Cooperative Multi-Agent Reinforcement Learning
    J. Oh*, J. Kim*, M. Jeong, S.-Y. Yun
    Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2023, pp. 1597–1605
    decision making
  13. Robust Streaming PCA
    D. Bienstock*, M. Jeong*, A. Shukla*, S.-Y. Yun*
    Advances in Neural Information Processing Systems, 2022, pp. 4231–4243
    spectral
  14. Preservation of the Global Knowledge by Not-True Distillation in Federated Learning
    G. Lee*, M. Jeong*, Y. Shin, S. Bae, S.-Y. Yun
    Advances in Neural Information Processing Systems, 2022, pp. 38461–38474
    federated learning

Workshop & abstracts

  1. Real-time Operational System of AI-Based Medium-Range Weather Forecasting Models by KMA
    Y.-H. Baek, H. Lee, J. Cha, S. Pyo, M. Jeong, J. Hong, M. Jang, W. Choi, E. Kim, H.-C. Shin, K. Park, S.-Y. Yun
    105th Annual AMS Meeting 2025, 2025, pp. 448673 . Provided by the SAO/NASA Astrophysics Data System.
    weather
  2. Transformer-Based Short-term Precipitation Post-Processing: Leveraging Extensive Data and Short Training
    B. Cho*, F. den Breejen*, M. Jeong*, T. Kim, N. Ho, J. Cha, Y.-H. Baek, S.-Y. Yun
    Workshop on Machine Learning for Earth System Modelling (MLESM), 2025 . Workshop abstract; non-archival.
    weather

Under submission

  1. Variational Monte Carlo for Quantum Excited States via Nested Low-Rank Approximation
    M. Jeong*, J. J. Ryu*, S.-Y. Yun, G. W. Wornell
    2026 . Manuscript under review, 2026.
    quantumspectral
  2. PerMix-RLVR: Preserving Persona Expressivity under Verifiable-Reward Alignment
    J. Oh, S. Oh, M. Aghazada, M. Jeong, S. Kim, S.-Y. Yun
    2026 . Manuscript under review, 2026.
    llm