Haokun Liu

According to our database, Haokun Liu authored at least 32 papers between 2015 and 2024.

Collaborative distances:

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

2024

Enhancing the LLM-Based Robot Manipulation Through Human-Robot Collaboration.

Haokun Liu, Yaonan Zhu, Kenji Kato, Atsushi Tsukahara, Izumi Kondo, Tadayoshi Aoyama, Yasuhisa Hasegawa

IEEE Robotics Autom. Lett., August, 2024

Soft Merging of Experts with Adaptive Routing.

Mohammed Muqeeth, Haokun Liu, Colin Raffel

Trans. Mach. Learn. Res., 2024

A fast intra CU partition algorithm in Versatile Video Coding for 360-degree video.

Yan Chen, Tiansong Li, Haokun Liu, Shaoguo Cui, Li Yu, Kejun Wu, Hongkui Wang

J. Vis. Commun. Image Represent., 2024

Literature Meets Data: A Synergistic Approach to Hypothesis Generation.

Haokun Liu, Yangqiaoyu Zhou, Mingxuan Li, Chenfei Yuan, Chenhao Tan

CoRR, 2024

A Survey on Model MoErging: Recycling and Routing Among Specialized Experts for Collaborative Learning.

Prateek Yadav, Colin Raffel, Mohammed Muqeeth, Lucas Caccia, Haokun Liu, Tianlong Chen, Mohit Bansal, Leshem Choshen, Alessandro Sordoni

CoRR, 2024

Dense Training, Sparse Inference: Rethinking Training of Mixture-of-Experts Language Models.

Bowen Pan, Yikang Shen, Haokun Liu, Mayank Mishra, Gaoyuan Zhang, Aude Oliva, Colin Raffel, Rameswar Panda

CoRR, 2024

Hypothesis Generation with Large Language Models.

Yangqiaoyu Zhou, Haokun Liu, Tejes Srivastava, Hongyuan Mei, Chenhao Tan

CoRR, 2024

Learning to Route Among Specialized Experts for Zero-Shot Generalization.

Mohammed Muqeeth, Haokun Liu, Yufan Liu, Colin Raffel

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Choosing GIS graduate programs from afar: Chinese students' perspectives.

Yikang Wang, Yuhao Kang, Haokun Liu, Ce Hou, Bing Zhou, Shan Ye, Yuyan Liu, Jinmeng Rao, Zhenghao Pei, Xiang Ye, Song Gao

Trans. GIS, April, 2023

LLM-Based Human-Robot Collaboration Framework for Manipulation Tasks.

Haokun Liu, Yaonan Zhu, Kenji Kato, Izumi Kondo, Tadayoshi Aoyama, Yasuhisa Hasegawa

CoRR, 2023

The Semantic Scholar Open Data Platform.

Rodney Kinney, Chloe Anastasiades, Russell Authur, Iz Beltagy, Jonathan Bragg, Alexandra Buraczynski, Isabel Cachola, Stefan Candra, Yoganand Chandrasekhar, Arman Cohan, Miles Crawford, Doug Downey, Jason Dunkelberger, Oren Etzioni, Rob Evans, Sergey Feldman, Joseph Gorney, David Graham, Fangzhou Hu, Regan Huff, Daniel King, Sebastian Kohlmeier, Bailey Kuehl, Michael Langan, Daniel Lin, Haokun Liu, Kyle Lo, Jaron Lochner, Kelsey MacMillan, Tyler Murray, Chris Newell, Smita Rao, Shaurya Rohatgi, Paul Sayre, Zejiang Shen, Amanpreet Singh, Luca Soldaini, Shivashankar Subramanian, Amber Tanaka, Alex D. Wade, Linda Wagner, Lucy Lu Wang, Chris Wilhelm, Caroline Wu, Jiangjiang Yang, Angele Zamarron, Madeleine van Zuylen, Daniel S. Weld

CoRR, 2023

Git-Theta: A Git Extension for Collaborative Development of Machine Learning Models.

Nikhil Kandpal, Brian Lester, Mohammed Muqeeth, Anisha Mascarenhas, Monty Evans, Vishal Baskaran, Tenghao Huang, Haokun Liu, Colin Raffel

Proceedings of the International Conference on Machine Learning, 2023

2022

Beyond Ensemble Averages: Leveraging Climate Model Ensembles for Subseasonal Forecasting.

Elena Orlova, Haokun Liu, Raphael Rossellini, Benjamin Cash, Rebecca Willett

CoRR, 2022

Human mobility and COVID-19 transmission: a systematic review and future directions.

Mengxi Zhang, Siqin Wang, Tao Hu, Xiaokang Fu, Xiaoyue Wang, Yaxin Hu, Briana Halloran, Zhenlong Li, Yunhe Cui, Haokun Liu, Zhimin Liu, Shuming Bao

Ann. GIS, 2022

Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning.

Haokun Liu, Derek Tam, Mohammed Muqeeth, Jay Mohta, Tenghao Huang, Mohit Bansal, Colin Raffel

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Optimal Design for the Torsional Elastic Element Topology of a Rotary Series Elastic Actuator.

Xishun Yang, Wenbo Luo, Haokun Liu, Sen Zhang, Weimin Ge

Proceedings of the 7th Asia-Pacific Conference on Intelligent Robot Systems, 2022

A Nonlinear Disturbance Observer Based on Sliding Mode Control for a Lower Limber Exoskeleton Robot.

Wenbo Luo, Haokun Liu, Xishun Yang, Sen Zhang, Weimin Ge

Proceedings of the 7th Asia-Pacific Conference on Intelligent Robot Systems, 2022

2021

Fine-Tuned Transformers Show Clusters of Similar Representations Across Layers.

Jason Phang, Haokun Liu, Samuel R. Bowman

Proceedings of the Fourth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2021

Comparing Test Sets with Item Response Theory.

Clara Vania, Phu Mon Htut, William Huang, Dhara A. Mungra, Richard Yuanzhe Pang, Jason Phang, Haokun Liu, Kyunghyun Cho, Samuel R. Bowman

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Erratum: "BLiMP: The Benchmark of Linguistic Minimal Pairs for English".

Alex Warstadt, Alicia Parrish, Haokun Liu, Anhad Mohananey, Wei Peng, Sheng-Fu Wang, Samuel R. Bowman

Trans. Assoc. Comput. Linguistics, 2020

BLiMP: The Benchmark of Linguistic Minimal Pairs for English.

Alex Warstadt, Alicia Parrish, Haokun Liu, Anhad Mohananey, Wei Peng, Sheng-Fu Wang, Samuel R. Bowman

Trans. Assoc. Comput. Linguistics, 2020

Learning Which Features Matter: RoBERTa Acquires a Preference for Linguistic Generalizations (Eventually).

Alex Warstadt, Yian Zhang, Haau-Sing Li, Haokun Liu, Samuel R. Bowman

CoRR, 2020

Intermediate-Task Transfer Learning with Pretrained Models for Natural Language Understanding: When and Why Does It Work?

Yada Pruksachatkun, Jason Phang, Haokun Liu, Phu Mon Htut, Xiaoyi Zhang, Richard Yuanzhe Pang, Clara Vania, Katharina Kann, Samuel R. Bowman

CoRR, 2020

English Intermediate-Task Training Improves Zero-Shot Cross-Lingual Transfer Too.

Jason Phang, Iacer Calixto, Phu Mon Htut, Yada Pruksachatkun, Haokun Liu, Clara Vania, Katharina Kann, Samuel R. Bowman

Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, 2020

Learning Which Features Matter: RoBERTa Acquires a Preference for Linguistic Generalizations (Eventually).

Alex Warstadt, Yian Zhang, Xiaocheng Li, Haokun Liu, Samuel R. Bowman

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Precise Task Formalization Matters in Winograd Schema Evaluations.

Haokun Liu, William Huang, Dhara A. Mungra, Samuel R. Bowman

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

jiant: A Software Toolkit for Research on General-Purpose Text Understanding Models.

Yada Pruksachatkun, Philip Yeres, Haokun Liu, Jason Phang, Phu Mon Htut, Alex Wang, Ian Tenney, Samuel R. Bowman

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

Intermediate-Task Transfer Learning with Pretrained Language Models: When and Why Does It Work?

Yada Pruksachatkun, Jason Phang, Haokun Liu, Phu Mon Htut, Xiaoyi Zhang, Richard Yuanzhe Pang, Clara Vania, Katharina Kann, Samuel R. Bowman

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

Counterfactually-Augmented SNLI Training Data Does Not Yield Better Generalization Than Unaugmented Data.

William Huang, Haokun Liu, Samuel R. Bowman

Proceedings of the First Workshop on Insights from Negative Results in NLP, 2020

2019

Investigating BERT's Knowledge of Language: Five Analysis Methods with NPIs.

Alex Warstadt, Yu Cao, Ioana Grosu, Wei Peng, Hagen Blix, Yining Nie, Anna Alsop, Shikha Bordia, Haokun Liu, Alicia Parrish, Sheng-Fu Wang, Jason Phang, Anhad Mohananey, Phu Mon Htut, Paloma Jeretic, Samuel R. Bowman

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018

MEMD: A Diversity-Promoting Learning Framework for Short-Text Conversation.

Meng Zou, Xihan Li, Haokun Liu, Zhi-Hong Deng

Proceedings of the 27th International Conference on Computational Linguistics, 2018

2015

Retrieving Relevant and Diverse Image from Social Media Images.

Xi Chen, Haokun Liu, Zhi-Hong Deng, Yunlun Yang

Proceedings of the Working Notes Proceedings of the MediaEval 2015 Workshop, 2015