Hyokun Yun

47 papers A* 6A 2B 1Journal 28Unranked 10
YearRankTypeTitle / Venue / Authors
2026 A* conf
RealWebAssist: A Benchmark for Long-Horizon Web Assistance with Real-World Users.
AAAI
Suyu Ye, Haojun Shi, Darren Shih, Hyokun Yun, Tanya G. Roosta, Tianmin Shu
2025 — conf
Aligning Large Language Models with Implicit Preferences from User-Generated Content.
ACL (1)
Zhaoxuan Tan, Zheng Li, Tianyi Liu, Haodong Wang, Hyokun Yun, Ming Zeng, Pei Chen, Zhihan Zhang, Yifan Gao, Ruijie Wang, Priyanka Nigam, Bing Yin, Meng Jiang
2025 J jnl
Aligning Large Language Models with Implicit Preferences from User-Generated Content.
CoRR
Zhaoxuan Tan, Zheng Li, Tianyi Liu, Haodong Wang, Hyokun Yun, Ming Zeng, Pei Chen, Zhihan Zhang, Yifan Gao, Ruijie Wang, Priyanka Nigam, Bing Yin, Meng Jiang
2025 J jnl
Ask a Strong LLM Judge when Your Reward Model is Uncertain.
CoRR
Zhenghao Xu, Qin Lu, Qingru Zhang, Liang Qiu, Ilgee Hong, Changlong Yu, Wenlin Yao, Yao Liu, Haoming Jiang, Lihong Li, Hyokun Yun, Tuo Zhao
2025 — conf
AutoMixAlign: Adaptive Data Mixing for Multi-Task Preference Optimization in LLMs.
ACL (1)
Nicholas E. Corrado, Julian Katz-Samuels, Adithya M. Devraj, Hyokun Yun, Chao Zhang, Yi Xu, Yi Pan, Bing Yin, Trishul Chilimbi
2025 J jnl
AutoMixAlign: Adaptive Data Mixing for Multi-Task Preference Optimization in LLMs.
CoRR
Nicholas E. Corrado, Julian Katz-Samuels, Adithya M. Devraj, Hyokun Yun, Chao Zhang, Yi Xu, Yi Pan, Bing Yin, Trishul Chilimbi
2025 — conf
DORM: Preference Data Weights Optimization for Reward Modeling in LLM Alignment.
EMNLP (Findings)
Rongzhi Zhang, Chenwei Zhang, Xinyang Zhang, Liang Qiu, Haoming Jiang, Yuchen Zhuang, Qingru Zhang, Hyokun Yun, Xian Li, Bing Yin, Tuo Zhao, Chao Zhang
2025 A conf
Exposing Privacy Gaps: Membership Inference Attack on Preference Data for LLM Alignment.
AISTATS
Qizhang Feng, Siva Rajesh Kasa, Santhosh Kumar Kasa, Hyokun Yun, Choon Hui Teo, Sravan Babu Bodapati
2025 J jnl
Improving Sampling Efficiency in RLVR through Adaptive Rollout and Response Reuse.
CoRR
Yuheng Zhang, Wenlin Yao, Changlong Yu, Yao Liu, Qingyu Yin, Bing Yin, Hyokun Yun, Lihong Li
2025 J jnl
Many-Turn Jailbreaking.
CoRR
Xianjun Yang, Liqiang Xiao, Shiyang Li, Faisal Ladhak, Hyokun Yun, Linda Ruth Petzold, Yi Xu, William Yang Wang
2025 J jnl
RealWebAssist: A Benchmark for Long-Horizon Web Assistance with Real-World Users.
CoRR
Suyu Ye, Haojun Shi, Darren Shih, Hyokun Yun, Tanya G. Roosta, Tianmin Shu
2025 J jnl
SFT Doesn't Always Hurt General Capabilities: Revisiting Domain-Specific Fine-Tuning in LLMs.
CoRR
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
2025 A* conf
WebAgent-R1: Training Web Agents via End-to-End Multi-Turn Reinforcement Learning.
EMNLP
Zhepei Wei, Wenlin Yao, Yao Liu, Weizhi Zhang, Qin Lu, Liang Qiu, Changlong Yu, Puyang Xu, Chao Zhang, Bing Yin, Hyokun Yun, Lihong Li
2025 J jnl
WebAgent-R1: Training Web Agents via End-to-End Multi-Turn Reinforcement Learning.
CoRR
Zhepei Wei, Wenlin Yao, Yao Liu, Weizhi Zhang, Qin Lu, Liang Qiu, Changlong Yu, Puyang Xu, Chao Zhang, Bing Yin, Hyokun Yun, Lihong Li
2024 — conf
Evolutionary Contrastive Distillation for Language Model Alignment.
EMNLP (Findings)
Julian Katz-Samuels, Zheng Li, Hyokun Yun, Priyanka Nigam, Yi Xu, Vaclav Petricek, Bing Yin, Trishul Chilimbi
2024 J jnl
Evolutionary Contrastive Distillation for Language Model Alignment.
CoRR
Julian Katz-Samuels, Zheng Li, Hyokun Yun, Priyanka Nigam, Yi Xu, Vaclav Petricek, Bing Yin, Trishul Chilimbi
2024 J jnl
Exposing Privacy Gaps: Membership Inference Attack on Preference Data for LLM Alignment.
CoRR
Qizhang Feng, Siva Rajesh Kasa, Hyokun Yun, Choon Hui Teo, Sravan Babu Bodapati
2024 A* conf
Robust Multi-Task Learning with Excess Risks.
ICML
Yifei He, Shiji Zhou, Guojun Zhang, Hyokun Yun, Yi Xu, Belinda Zeng, Trishul Chilimbi, Han Zhao
2024 J jnl
Robust Multi-Task Learning with Excess Risks.
CoRR
Yifei He, Shiji Zhou, Guojun Zhang, Hyokun Yun, Yi Xu, Belinda Zeng, Trishul Chilimbi, Han Zhao
2023 J jnl
Threshold-aware Learning to Generate Feasible Solutions for Mixed Integer Programs.
CoRR
Taehyun Yoon, Jinwon Choi, Hyokun Yun, Sungbin Lim
2022 B conf
MICO: Selective Search with Mutual Information Co-training.
COLING
Zhanyu Wang, Xiao Zhang, Hyokun Yun, Choon Hui Teo, Trishul Chilimbi
2022 J jnl
MICO: Selective Search with Mutual Information Co-training.
CoRR
Zhanyu Wang, Xiao Zhang, Hyokun Yun, Choon Hui Teo, Trishul Chilimbi
2021 J jnl
A Deep Reinforcement Learning Approach for Solving the Traveling Salesman Problem with Drone.
CoRR
Aigerim Bogyrbayeva, Taehyun Yoon, Hanbum Ko, Sungbin Lim, Hyokun Yun, Changhyun Kwon
2020 J jnl
Tiering as a Stochastic Submodular Optimization Problem.
CoRR
Hyokun Yun, Michael Froh, Roshan Makhijani, Brian Luc, Alex Smola, Trishul Chilimbi
2019 — conf
Robustness to Capitalization Errors in Named Entity Recognition.
W-NUT@EMNLP
Sravan Babu Bodapati, Hyokun Yun, Yaser Al-Onaizan
2019 J jnl
Robustness to Capitalization Errors in Named Entity Recognition.
CoRR
Sravan Babu Bodapati, Hyokun Yun, Yaser Al-Onaizan
2019 A* conf
Scaling Multinomial Logistic Regression via Hybrid Parallelism.
KDD
Parameswaran Raman, Sriram Srinivasan, Shin Matsushima, Xinhua Zhang, Hyokun Yun, S. V. N. Vishwanathan
2018 — conf
Deep Active Learning for Named Entity Recognition.
ICLR (Poster)
Yanyao Shen, Hyokun Yun, Zachary C. Lipton, Yakov Kronrod, Animashree Anandkumar
2017 — conf
Deep Active Learning for Named Entity Recognition.
Rep4NLP@ACL
Yanyao Shen, Hyokun Yun, Zachary Chase Lipton, Yakov Kronrod, Animashree Anandkumar
2017 J jnl
Deep Active Learning for Named Entity Recognition.
CoRR
Yanyao Shen, Hyokun Yun, Zachary C. Lipton, Yakov Kronrod, Animashree Anandkumar
2017 — conf
Distributed Stochastic Optimization of Regularized Risk via Saddle-Point Problem.
ECML/PKDD (1)
Shin Matsushima, Hyokun Yun, Xinhua Zhang, S. V. N. Vishwanathan
2016 J jnl
DS-MLR: Exploiting Double Separability for Scaling up Distributed Multinomial Logistic Regression.
CoRR
Parameswaran Raman, Shin Matsushima, Xinhua Zhang, Hyokun Yun, S. V. N. Vishwanathan
2016 J jnl
Nomadic Computing for Big Data Analytics.
Computer
Hsiang-Fu Yu, Cho-Jui Hsieh, Hyokun Yun, S. V. N. Vishwanathan, Inderjit S. Dhillon
2016 A* conf
WordRank: Learning Word Embeddings via Robust Ranking.
EMNLP
Shihao Ji, Hyokun Yun, Pinar Yanardag, Shin Matsushima, S. V. N. Vishwanathan
2015 A* conf
A Scalable Asynchronous Distributed Algorithm for Topic Modeling.
WWW
Hsiang-Fu Yu, Cho-Jui Hsieh, Hyokun Yun, S. V. N. Vishwanathan, Inderjit S. Dhillon
2015 J jnl
WordRank: Learning Word Embeddings via Robust Ranking.
CoRR
Shihao Ji, Hyokun Yun, Pinar Yanardag, Shin Matsushima, S. V. N. Vishwanathan
2014 J jnl
A Scalable Asynchronous Distributed Algorithm for Topic Modeling.
CoRR
Hsiang-Fu Yu, Cho-Jui Hsieh, Hyokun Yun, S. V. N. Vishwanathan, Inderjit S. Dhillon
2014 J jnl
Distributed Stochastic Optimization of the Regularized Risk.
CoRR
Shin Matsushima, Hyokun Yun, S. V. N. Vishwanathan
2014 J jnl
NOMAD: Nonlocking, stOchastic Multi-machine algorithm for Asynchronous and Decentralized matrix completion.
Proc. VLDB Endow.
Hyokun Yun, Hsiang-Fu Yu, Cho-Jui Hsieh, S. V. N. Vishwanathan, Inderjit S. Dhillon
2014 J jnl
Ranking via Robust Binary Classification and Parallel Parameter Estimation in Large-Scale Data.
CoRR
Hyokun Yun, Parameswaran Raman, S. V. N. Vishwanathan
2014 — conf
Ranking via Robust Binary Classification.
NIPS
Hyokun Yun, Parameswaran Raman, S. V. N. Vishwanathan
2013 J jnl
NOMAD: Non-locking, stOchastic Multi-machine algorithm for Asynchronous and Decentralized matrix completion.
CoRR
Hyokun Yun, Hsiang-Fu Yu, Cho-Jui Hsieh, S. V. N. Vishwanathan, Inderjit S. Dhillon
2012 J jnl
Efficiently Sampling Multiplicative Attribute Graphs Using a Ball-Dropping Process
CoRR
Hyokun Yun, S. V. N. Vishwanathan
2012 — conf
How to filter out random clickers in a crowdsourcing-based study?
BELIV
Sung-Hee Kim, Hyokun Yun, Ji Soo Yi
2012 A conf
Quilting Stochastic Kronecker Product Graphs to Generate Multiplicative Attribute Graphs.
AISTATS
Hyokun Yun, S. V. N. Vishwanathan
2011 J jnl
Quilting Stochastic Kronecker Product Graphs to Generate Multiplicative Attribute Graphs
CoRR
Hyokun Yun, S. V. N. Vishwanathan
2011 J jnl
Using Logistic Regression to Analyze the Balance of a Game: The Case of StarCraft II
CoRR
Hyokun Yun