
2025
From Threat to Tool: Leveraging Refusal-Aware Injection Attacks for Safety Alignment
[Preprint Arxiv 2025] Kyubyung Chae, Hyunbin Jin, Taesup Kim
Towards Robust Real-World Multivariate Time Series Forecasting: A Unified Framework for Dependency, Asynchrony, and Missingness
[Preprint Arxiv 2025] Jinkwan Jang, Hyungjin Park, Jinmyeong Choi, Taesup Kim
ATAS: Any-to-Any Self-Distillation for Enhanced Open-Vocabulary Dense Prediction
[Preprint Arxiv 2025] Juan Yeo, Soonwoo Cha, Jiwoo Song, Hyunbin Jin, Taesup Kim
Sparse Imagination for Efficient Visual World Model Planning
[Preprint Arxiv 2025] Junha Chun, Youngjoon Jeong, Taesup Kim
Regularized Personalization of Text-to-Image Diffusion Models without Distributional Drift
[Preprint Arxiv 2025] Gihoon Kim, Hyungjin Park, Taesup Kim
Energy-based Preference Optimization for Test-time Adaptation
[Preprint Arxiv 2025] Yewon Han, Seoyun Yang, Taesup Kim
Parameter-Efficient Fine-Tuning with Column Space Projection
[Preprint Arxiv 2025] Junseo Hwang, Wonguk Cho, Taesup Kim
Generalized and Personalized Federated Learning with Foundation Models via Orthogonal Transformations
[Preprint Arxiv 2025] Eun Gyung Kong, Je Won Yeom, Yonghoon Jeon, Taesup Kim
Object-Centric World Model for Language-Guided Manipulation
[ICLR Workshop 2025] Youngjoon Jeong, Junha Chun, Soonwoo Cha, Taesup Kim
"Well, Keep Thinking": Enhancing LLM Reasoning with Adaptive Injection Decoding
[ACL 2025] Hyunbin Jin, Je Won Yeom, Seunghyun Bae, Taesup Kim
Retaining and Enhancing Pre-trained Knowledge in Vision-Language Models with Prompt Ensembling
[WACV 2025] Donggeun Kim, Yujin Jo, Myungjoo Lee, Taesup Kim
2024
Hollowed Net for On-Device Personalization of Text-to-Image Diffusion Models
[NeurIPS 2024] Wonguk Cho, Seokeon Choi, Debasmit Das, Matthias Reisser, Taesup Kim, Sungrack Yun, Fatih Porikli
Model-based Preference Optimization in Abstractive Summarization without Human Feedback
[EMNLP 2024] Jaepill Choi*, Kyubyung Chae*, Jiwoo Song, Yohan Jo, Taesup Kim
Missing Modality Prediction for Unpaired Multimodal Learning via Joint Embedding of Unimodal Models
[ECCV 2024] Donggeun Kim, Taesup Kim