Hyundong Jin

24 papers A* 4Journal 16Unranked 4
YearRankTypeTitle / Venue / Authors
2026 — conf
A Regex Minimization Benchmark: A PSPACE-Complete Challenge for Language Models.
EACL (Volume 1: Long Papers)
Hyundong Jin, Joonghyuk Hahn, Yo-Sub Han
2026 J jnl
How Does the Thinking Step Influence Model Safety? An Entropy-based Safety Reminder for LRMs.
CoRR
Su-Hyeon Kim, Hyundong Jin, Yejin Lee, Yo-Sub Han
2026 J jnl
Steering Language Models Before They Speak: Logit-Level Interventions.
CoRR
Hyeseon An, Shinwoo Park, Hyundong Jin, Yo-Sub Han
2026 J jnl
Which Concepts to Forget and How to Refuse? Decomposing Concepts for Continual Unlearning in Large Vision-Language Models.
CoRR
Hyundong Jin, Dongyoon Han, Eunwoo Kim
2025 J jnl
Continual Learning for Multiple Modalities.
CoRR
Hyundong Jin, Eunwoo Kim
2025 J jnl
Dataset condensation with coarse-to-fine regularization.
Pattern Recognit. Lett.
Hyundong Jin, Eunwoo Kim
2025 J jnl
Detecting code paraphrased by large language models using coding style features.
Eng. Appl. Artif. Intell.
Shinwoo Park, Hyundong Jin, Jeong-Won Cha, Yo-Sub Han
2025 J jnl
Detection of LLM-Paraphrased Code and Identification of the Responsible LLM Using Coding Style Features.
CoRR
Shinwoo Park, Hyundong Jin, Jeong-Won Cha, Yo-Sub Han
2025 J jnl
Exploration and exploitation in continual learning.
Neural Networks
Kiseong Hong, Hyundong Jin, Sungho Suh, Eunwoo Kim
2025 J jnl
Instruction-Grounded Visual Projectors for Continual Learning of Generative Vision-Language Models.
CoRR
Hyundong Jin, Hyung Jin Chang, Eunwoo Kim
2025 J jnl
KOTOX: A Korean Toxic Dataset for Deobfuscation and Detoxification.
CoRR
Yejin Lee, Su-Hyeon Kim, Hyundong Jin, Dayoung Kim, Yeonsoo Kim, Yo-Sub Han
2025 A* conf
Mondrian: A Framework for Logical Abstract (Re)Structuring.
EMNLP
Elizabeth Orwig, Shinwoo Park, Hyundong Jin, Yo-Sub Han
2025 J jnl
RegexPSPACE: A Benchmark for Evaluating LLM Reasoning on PSPACE-complete Regex Problems.
CoRR
Hyundong Jin, Joonghyuk Hahn, Yo-Sub Han
2025 J jnl
TRAPDOC: Deceiving LLM Users by Injecting Imperceptible Phantom Tokens into Documents.
CoRR
Hyundong Jin, Sicheol Sung, Shinwoo Park, Seung-Yeop Baik, Yo-Sub Han
2025 — conf
TrapDoc: Deceiving LLM Users by Injecting Imperceptible Phantom Tokens into Documents.
EMNLP (Findings)
Hyundong Jin, Sicheol Sung, Shinwoo Park, Seung-Yeop Baik, Yo-Sub Han
2024 — conf
Continual Learning for Multiple Task Complexities.
ICTC
Hyundong Jin, Eunwoo Kim
2024 A* conf
Operator-Learning-Inspired Modeling of Neural Ordinary Differential Equations.
AAAI
Woojin Cho, Seunghyeon Cho, Hyundong Jin, Jinsung Jeon, Kookjin Lee, Sanghyun Hong, Dongeun Lee, Jonghyun Choi, Noseong Park
2024 A* conf
PAC-FNO: Parallel-Structured All-Component Fourier Neural Operators for Recognizing Low-Quality Images.
ICLR
Jinsung Jeon, Hyundong Jin, Jonghyun Choi, Sanghyun Hong, Dongeun Lee, Kookjin Lee, Noseong Park
2024 J jnl
PAC-FNO: Parallel-Structured All-Component Fourier Neural Operators for Recognizing Low-Quality Images.
CoRR
Jinsung Jeon, Hyundong Jin, Jonghyun Choi, Sanghyun Hong, Dongeun Lee, Kookjin Lee, Noseong Park
2023 A* conf
Growing a Brain with Sparsity-Inducing Generation for Continual Learning.
ICCV
Hyundong Jin, Gyeong-Hyeon Kim, Chanho Ahn, Eunwoo Kim
2023 J jnl
Operator-learning-inspired Modeling of Neural Ordinary Differential Equations.
CoRR
Woojin Cho, Seunghyeon Cho, Hyundong Jin, Jinsung Jeon, Kookjin Lee, Sanghyun Hong, Dongeun Lee, Jonghyun Choi, Noseong Park
2023 J jnl
Task-Aware Dynamic Model Optimization for Multi-Task Learning.
IEEE Access
Sujin Choi, Hyundong Jin, Eunwoo Kim
2022 J jnl
Gating Mechanism in Deep Neural Networks for Resource-Efficient Continual Learning.
IEEE Access
Hyundong Jin, Kimin Yun, Eunwoo Kim
2022 — conf
Helpful or Harmful: Inter-task Association in Continual Learning.
ECCV (11)
Hyundong Jin, Eunwoo Kim