Layer Verification Accelerates Speculative Tree Decoding
π₯ Jaeyoung Cha*, Hanseul Cho*, and Chulhee Yun
π° AdaptFM @ ICML2026 π
π [paper]
Publications
You can also find my articles on my Google Scholar profile.
Characterizing Pattern Matching and Its Limits on Compositional Task Structures
π₯ Hoyeon Chang*, Jinho Park*, Hanseul Cho*, Sohee Yang, Miyoung Ko, Hyeonbin Hwang, Seungpil Won, Dohaeng Lee, Youbin Ahn, and Minjoon Seo
π° ICLR 2026 π
π [paper] [arxiv] [X (Twitter)] 
Deep Model-Based Optimization of Jamming Effectiveness under Aircraft AESA Radar Operational Environments [KOR]
π₯ Hanseul Cho, Baekrok Shin, Chaewon Moon, Sang-Geun Hong, U-Ju Byeon, Jin-Yong Sung, and Chulhee Yun
π° Journal of Kor. Inst. of Comm & Info. Sci. (J-KICS) π
π [paper]
Arithmetic Transformers Can Length-Generalize in Both Operand Length and Count
π₯ Hanseul Cho*, Jaeyoung Cha*, Srinadh Bhojanapalli, and Chulhee Yun
π° ICLR 2025 π
π [paper] [arxiv] [X (Twitter)] [LinkedIn] 
Convergence and Implicit Bias of Gradient Descent on Continual Linear Classification
π₯ Hyunji Jung*, Hanseul Cho*, and Chulhee Yun
π° ICLR 2025 π
π Best Paper Award at the 11th Joint Conference of Korean Artificial Intelligence Association (JKAIA 2024)
Position Coupling: Improving Length Generalization of Arithmetic Transformers Using Task Structure
π₯ Hanseul Cho*, Jaeyoung Cha*, Pranjal Awasthi, Srinadh Bhojanapalli, Anupam Gupta, and Chulhee Yun
π° NeurIPS 2024 (Short version at ICML 2024 Workshop on Long-Context Foundation Models (LCFM)) π
DASH: Warm-Starting Neural Network Training in Stationary Settings without Loss of Plasticity
π₯ Baekrok Shin*, Junsoo Oh*, Hanseul Cho, and Chulhee Yun
π° NeurIPS 2024 (Short version at ICML 2024 Workshop on Advancing Neural Network Training (WANT)) π
Fundamental Benefit of Alternating Updates in Minimax Optimization
π₯ Jaewook Lee*, Hanseul Cho*, and Chulhee Yun
π° ICML 2024 (Short version at ICLR 2024 Workshop on Bridging the Gap Between Practice and Theory in Deep Learning (BGPT)) π
π [paper] [arxiv] [LinkedIn] 
π Spotlight at the 41st Int'l Conf. on Machine Learning (ICML 2024; Top 3.5% among total submissions)
Fair Streaming Principal Component Analysis: Statistical and Algorithmic Viewpoint
π₯ Junghyun Lee*, Hanseul Cho*, Se-Young Yun, and Chulhee Yun
π° NeurIPS 2023 π
π [paper] [arxiv] [X (Twitter)] 
PLASTIC: Improving Input and Label Plasticity for Sample Efficient Reinforcement Learning
π₯ Hojoon Lee*, Hanseul Cho*, Hyunseung Kim*, Daehoon Gwak, Joonkee Kim, Jaegul Choo, Se-Young Yun, and Chulhee Yun
π° NeurIPS 2023 π
SGDA with Shuffling: Faster Convergence For Nonconvex-PΕ Minimax Optimization
π₯ Hanseul Cho and Chulhee Yun
π° ICLR 2023 π
π NAVER Outstanding Theory Paper Award at the 7th Joint Conference of Korea Artificial Intelligence Association (JKAIA 2022)