Minchan Jeong

According to our database1, Minchan Jeong authored at least 17 papers between 2021 and 2025.

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Bibliography

2025
Efficient Parametric SVD of Koopman Operator for Stochastic Dynamical Systems.
CoRR, July, 2025

When Debate Fails: Bias Reinforcement in Large Language Models.
CoRR, March, 2025

FedDr+: Stabilizing Dot-regression with Global Feature Distillation for Federated Learning.
Trans. Mach. Learn. Res., 2025

2024
BAPO: Base-Anchored Preference Optimization for Personalized Alignment in Large Language Models.
CoRR, 2024

CAN-Based Identification of Human and Autonomous Driving Modes in Level 3 Autonomous Vehicles.
Proceedings of the Advances in Intelligent Networking and Collaborative Systems, 2024

Effect of DoS Attack into LiDAR Ethernet.
Proceedings of the Innovative Mobile and Internet Services in Ubiquitous Computing, 2024

BAPO: Base-Anchored Preference Optimization for Overcoming Forgetting in Large Language Models Personalization.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in Federated Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Hard Prompts Made Interpretable: Sparse Entropy Regularization for Prompt Tuning with RL.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
FedSoL: Bridging Global Alignment and Local Generality in Federated Learning.
CoRR, 2023

Bayesian Multi-Task Transfer Learning for Soft Prompt Tuning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Revisiting Intermediate Layer Distillation for Compressing Language Models: An Overfitting Perspective.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Toward Risk-based Optimistic Exploration for Cooperative Multi-Agent Reinforcement Learning.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Contextual Linear Bandits under Noisy Features: Towards Bayesian Oracles.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
Preservation of the Global Knowledge by Not-True Distillation in Federated Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Robust Streaming PCA.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Preservation of the Global Knowledge by Not-True Self Knowledge Distillation in Federated Learning.
CoRR, 2021


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