Yun, Hyokun

8 publications

ICLR 2026 SFT Doesn’t Always Hurt General Capabilities: Revisiting Domain-Specific Fine-Tuning in LLMs Jiacheng Lin, Zhongruo Wang, Kun Qian, Tian Wang, Arvind Srinivasan, Hansi Zeng, Ruochen Jiao, Xie Zhou, Jiri Gesi, Dakuo Wang, Yufan Guo, Kai Zhong, Weiqi Zhang, Sujay Sanghavi, Changyou Chen, Hyokun Yun, Lihong Li

NeurIPS 2025 Ask a Strong LLM Judge When Your Reward Model Is Uncertain Zhenghao Xu, Qin Lu, Qingru Zhang, Liang Qiu, Ilgee Hong, Changlong Yu, Wenlin Yao, Yao Liu, Haoming Jiang, Lihong Li, Hyokun Yun, Tuo Zhao

AISTATS 2025 Exposing Privacy Gaps: Membership Inference Attack on Preference Data for LLM Alignment Qizhang Feng, Siva Rajesh Kasa, Santhosh Kumar Kasa, Hyokun Yun, Choon Hui Teo, Sravan Babu Bodapati

ICML 2024 Robust Multi-Task Learning with Excess Risks Yifei He, Shiji Zhou, Guojun Zhang, Hyokun Yun, Yi Xu, Belinda Zeng, Trishul Chilimbi, Han Zhao

ICLR 2018 Deep Active Learning for Named Entity Recognition Yanyao Shen, Hyokun Yun, Zachary C. Lipton, Yakov Kronrod, Animashree Anandkumar

ECML-PKDD 2017 Distributed Stochastic Optimization of Regularized Risk via Saddle-Point Problem Shin Matsushima, Hyokun Yun, Xinhua Zhang, S. V. N. Vishwanathan

NeurIPS 2014 Ranking via Robust Binary Classification Hyokun Yun, Parameswaran Raman, S. Vishwanathan

AISTATS 2012 Quilting Stochastic Kronecker Product Graphs to Generate Multiplicative Attribute Graphs Hyokun Yun, S V N Vishwanathan