Hyundong Jin

According to our database, Hyundong Jin authored at least 24 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

STAB: Specification-driven Testing for Algorithmic Bottlenecks.

Soohan Lim, Joonghyuk Hahn, Hyundong Jin, Yo-Sub Han

CoRR, May, 2026

NCO: A Versatile Plug-in for Handling Negative Constraints in Decoding.

Hyundong Jin, Yo-Sub Han

CoRR, May, 2026

CRaFT: Circuit-Guided Refusal Feature Selection via Cross-Layer Transcoders.

Su-Hyeon Kim, Hyundong Jin, Yejin Lee, Yo-Sub Han

CoRR, April, 2026

Which Concepts to Forget and How to Refuse? Decomposing Concepts for Continual Unlearning in Large Vision-Language Models.

Hyundong Jin, Dongyoon Han, Eunwoo Kim

CoRR, March, 2026

Steering Language Models Before They Speak: Logit-Level Interventions.

Hyeseon An, Shinwoo Park, Hyundong Jin, Yo-Sub Han

CoRR, January, 2026

How Does the Thinking Step Influence Model Safety? An Entropy-based Safety Reminder for LRMs.

Su-Hyeon Kim, Hyundong Jin, Yejin Lee, Yo-Sub Han

CoRR, January, 2026

A Regex Minimization Benchmark: A PSPACE-Complete Challenge for Language Models.

Hyundong Jin, Joonghyuk Hahn, Yo-Sub Han

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

2025

KOTOX: A Korean Toxic Dataset for Deobfuscation and Detoxification.

Yejin Lee, Su-Hyeon Kim, Hyundong Jin, Dayoung Kim, Yeonsoo Kim, Yo-Sub Han

CoRR, October, 2025

RegexPSPACE: A Benchmark for Evaluating LLM Reasoning on PSPACE-complete Regex Problems.

Hyundong Jin, Joonghyuk Hahn, Yo-Sub Han

CoRR, October, 2025

Continual Learning for Multiple Modalities.

Hyundong Jin, Eunwoo Kim

CoRR, March, 2025

Detection of LLM-Paraphrased Code and Identification of the Responsible LLM Using Coding Style Features.

Shinwoo Park, Hyundong Jin, Jeong-Won Cha, Yo-Sub Han

CoRR, February, 2025

Dataset condensation with coarse-to-fine regularization.

Hyundong Jin, Eunwoo Kim

Pattern Recognit. Lett., 2025

Exploration and exploitation in continual learning.

Kiseong Hong, Hyundong Jin, Sungho Suh, Eunwoo Kim

Neural Networks, 2025

Detecting code paraphrased by large language models using coding style features.

Shinwoo Park, Hyundong Jin, Jeong-Won Cha, Yo-Sub Han

Eng. Appl. Artif. Intell., 2025

Instruction-Grounded Visual Projectors for Continual Learning of Generative Vision-Language Models.

Hyundong Jin, Hyung Jin Chang, Eunwoo Kim

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Mondrian: A Framework for Logical Abstract (Re)Structuring.

Elizabeth Orwig, Shinwoo Park, Hyundong Jin, Yo-Sub Han

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

TrapDoc: Deceiving LLM Users by Injecting Imperceptible Phantom Tokens into Documents.

Hyundong Jin, Sicheol Sung, Shinwoo Park, Seung-Yeop Baik, Yo-Sub Han

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

2024

Continual Learning for Multiple Task Complexities.

Hyundong Jin, Eunwoo Kim

Proceedings of the 15th International Conference on Information and Communication Technology Convergence, 2024

PAC-FNO: Parallel-Structured All-Component Fourier Neural Operators for Recognizing Low-Quality Images.

Jinsung Jeon, Hyundong Jin, Jonghyun Choi, Sanghyun Hong, Dongeun Lee, Kookjin Lee, Noseong Park

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Operator-Learning-Inspired Modeling of Neural Ordinary Differential Equations.

Woojin Cho, Seunghyeon Cho, Hyundong Jin, Jinsung Jeon, Kookjin Lee, Sanghyun Hong, Dongeun Lee, Jonghyun Choi, Noseong Park

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Task-Aware Dynamic Model Optimization for Multi-Task Learning.

Sujin Choi, Hyundong Jin, Eunwoo Kim

IEEE Access, 2023

Growing a Brain with Sparsity-Inducing Generation for Continual Learning.

Hyundong Jin, Gyeong-Hyeon Kim, Chanho Ahn, Eunwoo Kim

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Gating Mechanism in Deep Neural Networks for Resource-Efficient Continual Learning.

Hyundong Jin, Kimin Yun, Eunwoo Kim

IEEE Access, 2022

Helpful or Harmful: Inter-task Association in Continual Learning.

Hyundong Jin, Eunwoo Kim

Proceedings of the Computer Vision - ECCV 2022, 2022