| 2026 | AAAI | Angular Gradient Sign Method: Uncovering Vulnerabilities in Hyperbolic Networks. | Minsoo Jo, Dongyoon Yang, Taesup Kim |
| 2026 | ACL | Evaluating Structure-Aware Retrieval and Safety in Statute-Centric Legal QA. | Kyubyung Chae, Je Won Yeom, Jeongjae Park, Seunghyun Bae, Ijun Jang, Hyunbin Jin, Jinkwan Jang, Taesup Kim |
| 2026 | ACL | Stable On-Policy Distillation through Adaptive Target Reformulation. | Ijun Jang, Je Won Yeom, Juan Yeo, Hyunggyu Lim, Taesup Kim |
| 2026 | ACL | EpiCaR: Knowing What You Don't Know Matters for Better Reasoning in LLMs. | Je Won Yeom, Jaewon Sok, Seonghyeon Park, Jeongjae Park, Taesup Kim |
| 2026 | CHI | Supporting or Hindering? Understanding the Divergent Effects of LLM Assistance on Critical Thinking in Academic Reading. | Seunghyun Bae, Hyungwoo Song, Hyeon Jeon, Taesup Kim, Bongwon Suh |
| 2025 | ACL | "Well, Keep Thinking": Enhancing LLM Reasoning with Adaptive Injection Decoding. | Hyunbin Jin, Je Won Yeom, Seunghyun Bae, Taesup Kim |
| 2025 | EMNLP | Assessing Socio-Cultural Alignment and Technical Safety of Sovereign LLMs. | Kyubyung Chae, Gihoon Kim, Gyuseong Lee, Taesup Kim, Jaejin Lee, Heejin Kim |
| 2025 | ICCV | ATAS: Any-to-Any Self-Distillation for Enhanced Open-Vocabulary Dense Prediction. | Juan Yeo, Soonwoo Cha, Jiwoo Song, Hyunbin Jin, Taesup Kim |
| 2025 | WACV | Retaining and Enhancing Pre-trained Knowledge in Vision-Language Models with Prompt Ensembling. | Donggeun Kim, Yujin Jo, Myungjoo Lee, Taesup Kim |
| 2024 | ECCV | Missing Modality Prediction for Unpaired Multimodal Learning via Joint Embedding of Unimodal Models. | Donggeun Kim, Taesup Kim |
| 2024 | EMNLP | Model-based Preference Optimization in Abstractive Summarization without Human Feedback. | Jaepill Choi, Kyubyung Chae, Jiwoo Song, Yohan Jo, Taesup Kim |
| 2024 | NAACL | Mitigating Hallucination in Abstractive Summarization with Domain-Conditional Mutual Information. | Kyubyung Chae, Jaepill Choi, Yohan Jo, Taesup Kim |
| 2023 | CIKM | Meta-Learning with Adaptive Weighted Loss for Imbalanced Cold-Start Recommendation. | Minchang Kim, Yongjin Yang, Jung Hyun Ryu, Taesup Kim |
| 2023 | CVPR | Meta-Learning with a Geometry-Adaptive Preconditioner. | Suhyun Kang, Duhun Hwang, Moonjung Eo, Taesup Kim, Wonjong Rhee |
| 2023 | ICCV | Complementary Domain Adaptation and Generalization for Unsupervised Continual Domain Shift Learning. | Wonguk Cho, Jinha Park, Taesup Kim |
| 2022 | IJCNLP | FAD-X: Fusing Adapters for Cross-lingual Transfer to Low-Resource Languages. | Jaeseong Lee, Seung-won Hwang, Taesup Kim |
| 2021 | AAAI | Visual Concept Reasoning Networks. | Taesup Kim, Sungwoong Kim, Yoshua Bengio |
| 2019 | CVPR | Edge-Labeling Graph Neural Network for Few-Shot Learning. | Jongmin Kim, Taesup Kim, Sungwoong Kim, Chang D. Yoo |
| 2019 | MICCAI | Scalable Neural Architecture Search for 3D Medical Image Segmentation. | Sungwoong Kim, Ildoo Kim, Sungbin Lim, Woonhyuk Baek, Chiheon Kim, Hyungjoo Cho, Boogeon Yoon, Taesup Kim |
| 2018 | ICASSP | Dynamic Frame Skipping for Fast Speech Recognition in Recurrent Neural Network Based Acoustic Models. | Inchul Song, Junyoung Chung, Taesup Kim, Yoshua Bengio |
| 2018 | ICLR | PixelDefend: Leveraging Generative Models to Understand and Defend against Adversarial Examples. | Yang Song, Taesup Kim, Sebastian Nowozin, Stefano Ermon, Nate Kushman |
| 2017 | Interspeech | Dynamic Layer Normalization for Adaptive Neural Acoustic Modeling in Speech Recognition. | Taesup Kim, Inchul Song, Yoshua Bengio |
| 2012 | SIMULTECH | Reusing Simulation Models for Weapons Effectiveness Analysis. | Kangsun Lee, Taesup Kim |
| 2011 | CVPR | Variable grouping for energy minimization. | Taesup Kim, Sebastian Nowozin, Pushmeet Kohli, Chang D. Yoo |