Hongkun Yu

28 papers A* 9A 2Journal 14Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Incentivizing Agentic Reasoning in LLM Judges via Tool-Integrated Reinforcement Learning.
CoRR
Ran Xu, Jingjing Chen, Jiayu Ye, Yu Wu, Jun Yan, Carl Yang, Hongkun Yu
2024 — conf
Conditional Language Policy: A General Framework For Steerable Multi-Objective Finetuning.
EMNLP (Findings)
Kaiwen Wang, Rahul Kidambi, Ryan Sullivan, Alekh Agarwal, Christoph Dann, Andrea Michi, Marco Gelmi, Yunxuan Li, Raghav Gupta, Avinava Dubey, Alexandre Ramé, Johan Ferret, Geoffrey Cideron, Le Hou, Hongkun Yu, Amr Ahmed, Aranyak Mehta, Léonard Hussenot, Olivier Bachem, Edouard Leurent
2024 J jnl
Conditioned Language Policy: A General Framework for Steerable Multi-Objective Finetuning.
CoRR
Kaiwen Wang, Rahul Kidambi, Ryan Sullivan, Alekh Agarwal, Christoph Dann, Andrea Michi, Marco Gelmi, Yunxuan Li, Raghav Gupta, Avinava Dubey, Alexandre Ramé, Johan Ferret, Geoffrey Cideron, Le Hou, Hongkun Yu, Amr Ahmed, Aranyak Mehta, Léonard Hussenot, Olivier Bachem, Edouard Leurent
2024 A* conf
Enabling Lanuguage Models to Implicitly Learn Self-Improvement.
ICLR
Ziqi Wang, Le Hou, Tianjian Lu, Yuexin Wu, Yunxuan Li, Hongkun Yu, Heng Ji
2024 A* conf
Mixture-of-Experts Meets Instruction Tuning: A Winning Combination for Large Language Models.
ICLR
Sheng Shen, Le Hou, Yanqi Zhou, Nan Du, Shayne Longpre, Jason Wei, Hyung Won Chung, Barret Zoph, William Fedus, Xinyun Chen, Tu Vu, Yuexin Wu, Wuyang Chen, Albert Webson, Yunxuan Li, Vincent Y. Zhao, Hongkun Yu, Kurt Keutzer, Trevor Darrell, Denny Zhou
2024 — conf
Multi-step Problem Solving Through a Verifier: An Empirical Analysis on Model-induced Process Supervision.
EMNLP (Findings)
Zihan Wang, Yunxuan Li, Yuexin Wu, Liangchen Luo, Le Hou, Hongkun Yu, Jingbo Shang
2024 J jnl
Multi-step Problem Solving Through a Verifier: An Empirical Analysis on Model-induced Process Supervision.
CoRR
Zihan Wang, Yunxuan Li, Yuexin Wu, Liangchen Luo, Le Hou, Hongkun Yu, Jingbo Shang
2024 J jnl
Multitask Multilingual Model Adaptation with Featurized Low-Rank Mixtures.
CoRR
Chu-Cheng Lin, Xinyi Wang, Jonathan H. Clark, Han Lu, Yun Zhu, Chenxi Whitehouse, Hongkun Yu
2024 J jnl
Scaling Instruction-Finetuned Language Models.
J. Mach. Learn. Res.
Hyung Won Chung, Le Hou, Shayne Longpre, Barret Zoph, Yi Tay, William Fedus, Yunxuan Li, Xuezhi Wang, Mostafa Dehghani, Siddhartha Brahma, Albert Webson, Shixiang Shane Gu, Zhuyun Dai, Mirac Suzgun, Xinyun Chen, Aakanksha Chowdhery, Alex Castro-Ros, Marie Pellat, Kevin Robinson, Dasha Valter, Sharan Narang, Gaurav Mishra, Adams Yu, Vincent Y. Zhao, Yanping Huang, Andrew M. Dai, Hongkun Yu, Slav Petrov, Ed H. Chi, Jeff Dean, Jacob Devlin, Adam Roberts, Denny Zhou, Quoc V. Le, Jason Wei
2023 A* conf
Augmentation with Projection: Towards an Effective and Efficient Data Augmentation Paradigm for Distillation.
ICLR
Ziqi Wang, Yuexin Wu, Frederick Liu, Daogao Liu, Le Hou, Hongkun Yu, Jing Li, Heng Ji
2023 J jnl
Enable Language Models to Implicitly Learn Self-Improvement From Data.
CoRR
Ziqi Wang, Le Hou, Tianjian Lu, Yuexin Wu, Yunxuan Li, Hongkun Yu, Heng Ji
2023 J jnl
Flan-MoE: Scaling Instruction-Finetuned Language Models with Sparse Mixture of Experts.
CoRR
Sheng Shen, Le Hou, Yanqi Zhou, Nan Du, Shayne Longpre, Jason Wei, Hyung Won Chung, Barret Zoph, William Fedus, Xinyun Chen, Tu Vu, Yuexin Wu, Wuyang Chen, Albert Webson, Yunxuan Li, Vincent Y. Zhao, Hongkun Yu, Kurt Keutzer, Trevor Darrell, Denny Zhou
2023 A* conf
Large Language Models Can Self-Improve.
EMNLP
Jiaxin Huang, Shixiang Gu, Le Hou, Yuexin Wu, Xuezhi Wang, Hongkun Yu, Jiawei Han
2022 J jnl
Augmentation with Projection: Towards an Effective and Efficient Data Augmentation Paradigm for Distillation.
CoRR
Ziqi Wang, Yuexin Wu, Frederick Liu, Daogao Liu, Le Hou, Hongkun Yu, Jing Li, Heng Ji
2022 J jnl
Large Language Models Can Self-Improve.
CoRR
Jiaxin Huang, Shixiang Shane Gu, Le Hou, Yuexin Wu, Xuezhi Wang, Hongkun Yu, Jiawei Han
2022 J jnl
Scaling Instruction-Finetuned Language Models.
CoRR
Hyung Won Chung, Le Hou, Shayne Longpre, Barret Zoph, Yi Tay, William Fedus, Eric Li, Xuezhi Wang, Mostafa Dehghani, Siddhartha Brahma, Albert Webson, Shixiang Shane Gu, Zhuyun Dai, Mirac Suzgun, Xinyun Chen, Aakanksha Chowdhery, Sharan Narang, Gaurav Mishra, Adams Yu, Vincent Y. Zhao, Yanping Huang, Andrew M. Dai, Hongkun Yu, Slav Petrov, Ed H. Chi, Jeff Dean, Jacob Devlin, Adam Roberts, Denny Zhou, Quoc V. Le, Jason Wei
2021 J jnl
EncT5: Fine-tuning T5 Encoder for Non-autoregressive Tasks.
CoRR
Frederick Liu, Siamak Shakeri, Hongkun Yu, Jing Li
2021 — conf
On the Transformer Growth for Progressive BERT Training.
NAACL-HLT
Xiaotao Gu, Liyuan Liu, Hongkun Yu, Jing Li, Chen Chen, Jiawei Han
2020 A* conf
Generating Representative Headlines for News Stories.
WWW
Xiaotao Gu, Yuning Mao, Jiawei Han, Jialu Liu, You Wu, Cong Yu, Daniel Finnie, Hongkun Yu, Jiaqi Zhai, Nicholas Zukoski
2020 J jnl
Generating Representative Headlines for News Stories.
CoRR
Xiaotao Gu, Yuning Mao, Jiawei Han, Jialu Liu, Hongkun Yu, You Wu, Cong Yu, Daniel Finnie, Jiaqi Zhai, Nicholas Zukoski
2020 A* conf
MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited Devices.
ACL
Zhiqing Sun, Hongkun Yu, Xiaodan Song, Renjie Liu, Yiming Yang, Denny Zhou
2020 J jnl
MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited Devices.
CoRR
Zhiqing Sun, Hongkun Yu, Xiaodan Song, Renjie Liu, Yiming Yang, Denny Zhou
2020 J jnl
On the Transformer Growth for Progressive BERT Training.
CoRR
Xiaotao Gu, Liyuan Liu, Hongkun Yu, Jing Li, Chen Chen, Jiawei Han
2016 A conf
Data-Driven Contextual Valence Shifter Quantification for Multi-Theme Sentiment Analysis.
CIKM
Hongkun Yu, Jingbo Shang, Meichun Hsu, Malú Castellanos, Jiawei Han
2016 A* conf
EKNOT: Event Knowledge from News and Opinions in Twitter.
AAAI
Min Li, Jingjing Wang, Wenzhu Tong, Hongkun Yu, Xiuli Ma, Yucheng Chen, Haoyan Cai, Jiawei Han
2015 A* conf
Are Features Equally Representative? A Feature-Centric Recommendation.
AAAI
Chenyi Zhang, Ke Wang, Ee-Peng Lim, Qinneng Xu, Jianling Sun, Hongkun Yu
2015 A* conf
Mining Multi-aspect Reflection of News Events in Twitter: Discovery, Linking and Presentation.
ICDM
Jingjing Wang, Wenzhu Tong, Hongkun Yu, Min Li, Xiuli Ma, Haoyan Cai, Tim Hanratty, Jiawei Han
2014 A conf
Latent Factor Transition for Dynamic Collaborative Filtering.
SDM
Chenyi Zhang, Ke Wang, Hongkun Yu, Jianling Sun, Ee-Peng Lim