Hongkun Yu

According to our database, Hongkun Yu authored at least 20 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Scaling Instruction-Finetuned Language Models.

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

J. Mach. Learn. Res., 2024

Conditioned Language Policy: A General Framework for Steerable Multi-Objective Finetuning.

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

CoRR, 2024

Multitask Multilingual Model Adaptation with Featurized Low-Rank Mixtures.

Chu-Cheng Lin, Xinyi Wang, Jonathan H. Clark, Han Lu, Yun Zhu, Chenxi Whitehouse, Hongkun Yu

CoRR, 2024

Multi-step Problem Solving Through a Verifier: An Empirical Analysis on Model-induced Process Supervision.

Zihan Wang, Yunxuan Li, Yuexin Wu, Liangchen Luo, Le Hou, Hongkun Yu, Jingbo Shang

CoRR, 2024

Mixture-of-Experts Meets Instruction Tuning: A Winning Combination for Large Language Models.

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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Enabling Lanuguage Models to Implicitly Learn Self-Improvement.

Ziqi Wang, Le Hou, Tianjian Lu, Yuexin Wu, Yunxuan Li, Hongkun Yu, Heng Ji

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Enable Language Models to Implicitly Learn Self-Improvement From Data.

Ziqi Wang, Le Hou, Tianjian Lu, Yuexin Wu, Yunxuan Li, Hongkun Yu, Heng Ji

CoRR, 2023

Flan-MoE: Scaling Instruction-Finetuned Language Models with Sparse Mixture of Experts.

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

CoRR, 2023

Augmentation with Projection: Towards an Effective and Efficient Data Augmentation Paradigm for Distillation.

Ziqi Wang, Yuexin Wu, Frederick Liu, Daogao Liu, Le Hou, Hongkun Yu, Jing Li, Heng Ji

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Large Language Models Can Self-Improve.

Jiaxin Huang, Shixiang Gu, Le Hou, Yuexin Wu, Xuezhi Wang, Hongkun Yu, Jiawei Han

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

Scaling Instruction-Finetuned Language Models.

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

CoRR, 2022

2021

EncT5: Fine-tuning T5 Encoder for Non-autoregressive Tasks.

Frederick Liu, Siamak Shakeri, Hongkun Yu, Jing Li

CoRR, 2021

On the Transformer Growth for Progressive BERT Training.

Xiaotao Gu, Liyuan Liu, Hongkun Yu, Jing Li, Chen Chen, Jiawei Han

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

2020

Generating Representative Headlines for News Stories.

Xiaotao Gu, Yuning Mao, Jiawei Han, Jialu Liu, You Wu, Cong Yu, Daniel Finnie, Hongkun Yu, Jiaqi Zhai, Nicholas Zukoski

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited Devices.

Zhiqing Sun, Hongkun Yu, Xiaodan Song, Renjie Liu, Yiming Yang, Denny Zhou

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2016

Data-Driven Contextual Valence Shifter Quantification for Multi-Theme Sentiment Analysis.

Hongkun Yu, Jingbo Shang, Meichun Hsu, Malú Castellanos, Jiawei Han

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

EKNOT: Event Knowledge from News and Opinions in Twitter.

Min Li, Jingjing Wang, Wenzhu Tong, Hongkun Yu, Xiuli Ma, Yucheng Chen, Haoyan Cai, Jiawei Han

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Mining Multi-aspect Reflection of News Events in Twitter: Discovery, Linking and Presentation.

Jingjing Wang, Wenzhu Tong, Hongkun Yu, Min Li, Xiuli Ma, Haoyan Cai, Tim Hanratty, Jiawei Han

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Are Features Equally Representative? A Feature-Centric Recommendation.

Chenyi Zhang, Ke Wang, Ee-Peng Lim, Qinneng Xu, Jianling Sun, Hongkun Yu

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Latent Factor Transition for Dynamic Collaborative Filtering.

Chenyi Zhang, Ke Wang, Hongkun Yu, Jianling Sun, Ee-Peng Lim

Proceedings of the 2014 SIAM International Conference on Data Mining, 2014