Hyokun Yun
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
14
Venues
9
Active years
2015–2026
Best venue rank
A*
Where they publish
Papers
14 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | RealWebAssist: A Benchmark for Long-Horizon Web Assistance with Real-World Users. | Suyu Ye, Haojun Shi, Darren Shih, Hyokun Yun, Tanya G. Roosta, Tianmin Shu |
| 2026 | ACL | Do LLMs Catch Their Own Mistakes? A Comprehensive Benchmark for Reflective Tool Use LLMs. | Zheyuan Liu, Liqiang Xiao, Yang Li, Hyokun Yun, Lihong Li, Chao Zhang, Meng Jiang |
| 2025 | ACL | AutoMixAlign: Adaptive Data Mixing for Multi-Task Preference Optimization in LLMs. | Nicholas E. Corrado, Julian Katz-Samuels, Adithya M. Devraj, Hyokun Yun, Chao Zhang, Yi Xu, Yi Pan, Bing Yin, Trishul Chilimbi |
| 2025 | ACL | Aligning Large Language Models with Implicit Preferences from User-Generated Content. | 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 | AISTATS | 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 |
| 2025 | EMNLP | WebAgent-R1: Training Web Agents via End-to-End Multi-Turn Reinforcement Learning. | 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 | EMNLP | DORM: Preference Data Weights Optimization for Reward Modeling in LLM Alignment. | Rongzhi Zhang, Chenwei Zhang, Xinyang Zhang, Liang Qiu, Haoming Jiang, Yuchen Zhuang, Qingru Zhang, Hyokun Yun, Xian Li, Bing Yin, Tuo Zhao, Chao Zhang |
| 2024 | EMNLP | Evolutionary Contrastive Distillation for Language Model Alignment. | Julian Katz-Samuels, Zheng Li, Hyokun Yun, Priyanka Nigam, Yi Xu, Vaclav Petricek, Bing Yin, Trishul Chilimbi |
| 2024 | ICML | Robust Multi-Task Learning with Excess Risks. | Yifei He, Shiji Zhou, Guojun Zhang, Hyokun Yun, Yi Xu, Belinda Zeng, Trishul Chilimbi, Han Zhao |
| 2022 | COLING | MICO: Selective Search with Mutual Information Co-training. | Zhanyu Wang, Xiao Zhang, Hyokun Yun, Choon Hui Teo, Trishul Chilimbi |
| 2019 | KDD | Scaling Multinomial Logistic Regression via Hybrid Parallelism. | Parameswaran Raman, Sriram Srinivasan, Shin Matsushima, Xinhua Zhang, Hyokun Yun, S. V. N. Vishwanathan |
| 2018 | ICLR | Deep Active Learning for Named Entity Recognition. | Yanyao Shen, Hyokun Yun, Zachary C. Lipton, Yakov Kronrod, Animashree Anandkumar |
| 2016 | EMNLP | WordRank: Learning Word Embeddings via Robust Ranking. | Shihao Ji, Hyokun Yun, Pinar Yanardag, Shin Matsushima, S. V. N. Vishwanathan |
| 2015 | WWW | A Scalable Asynchronous Distributed Algorithm for Topic Modeling. | Hsiang-Fu Yu, Cho-Jui Hsieh, Hyokun Yun, S. V. N. Vishwanathan, Inderjit S. Dhillon |