| 2026 | ACL | Multi-Drafter Speculative Decoding with Alignment Feedback. | Taehyeon Kim, Hojung Jung, Se-Young Yun |
| 2026 | ACL | Efficiently Learning To Reason or Not to Reason: Root-token Policy Optimization for Adaptive Thinking. | Taehyeon Kim, Hyunsoo Lee, Youngsoo Jang, Moontae Lee |
| 2026 | ACL | MERIT Feedback Elicits Better Bargaining in LLM Negotiators. | Jihwan Oh, Murad Aghazada, Yooju Shin, Se-Young Yun, Taehyeon Kim |
| 2025 | ICLR | MMR: A Large-scale Benchmark Dataset for Multi-target and Multi-granularity Reasoning Segmentation. | Donggon Jang, Yucheol Cho, Suin Lee, Taehyeon Kim, Daeshik Kim |
| 2025 | IROS | PrefMMT: Modeling Human Preferences in Preference-based Reinforcement Learning with Multimodal Transformers. | Dezhong Zhao, Ruiqi Wang, Dayoon Suh, Taehyeon Kim, Ziqin Yuan, Byung-Cheol Min, Guohua Chen |
| 2025 | ICRA | Adaptive Task Allocation in Multi-Human Multi-Robot Teams Under Team Heterogeneity and Dynamic Information Uncertainty. | Ziqin Yuan, Ruiqi Wang, Taehyeon Kim, Dezhong Zhao, Ike Obi, Byung-Cheol Min |
| 2025 | MICCAI | Blood Pressure Assisted Cerebral Microbleed Segmentation via Meta-matching. | Junmo Kwon, Jonghun Kim, Taehyeon Kim, Sang Won Seo, Hwan-ho Cho, Hyunjin Park |
| 2025 | NAACL | C²: Scalable Auto-Feedback for LLM-based Chart Generation. | Woosung Koh, Jang Han Yoon, Minhyung Lee, Youngjin Song, Jaegwan Cho, Jaehyun Kang, Taehyeon Kim, Se-Young Yun, Youngjae Yu, Bongshin Lee |
| 2024 | AAAI | Leveraging Normalization Layer in Adapters with Progressive Learning and Adaptive Distillation for Cross-Domain Few-Shot Learning. | Yongjin Yang, Taehyeon Kim, Se-Young Yun |
| 2024 | EMNLP | Towards Fast Multilingual LLM Inference: Speculative Decoding and Specialized Drafters. | Euiin Yi, Taehyeon Kim, Hongseok Jeung, Du-Seong Chang, Se-Young Yun |
| 2024 | ICLR | Instructive Decoding: Instruction-Tuned Large Language Models are Self-Refiner from Noisy Instructions. | Taehyeon Kim, Joonkee Kim, Gihun Lee, Se-Young Yun |
| 2024 | IROS | Semantic Layering in Room Segmentation via LLMs. | Taehyeon Kim, Byung-Cheol Min |
| 2024 | SiggraphA | Automatic Generation of Multimodal 4D Effects for Immersive Video Watching Experiences. | Seoyong Nam, Minho Chung, Haerim Kim, Eunchae Kim, Taehyeon Kim, Yongjae Yoo |
| 2021 | IJCAI | Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge Distillation. | Taehyeon Kim, Jaehoon Oh, Nakyil Kim, Sangwook Cho, Se-Young Yun |