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2020 – today
- 2024
[j7]Yan Chen, Tiansong Li, Haokun Liu, Shaoguo Cui, Li Yu, Kejun Wu, Hongkui Wang
:
A fast intra CU partition algorithm in Versatile Video Coding for 360-degree video. J. Vis. Commun. Image Represent. 104: 104305 (2024)- [j6]Haokun Liu, Yaonan Zhu, Kenji Kato, Atsushi Tsukahara, Izumi Kondo, Tadayoshi Aoyama, Yasuhisa Hasegawa:
Enhancing the LLM-Based Robot Manipulation Through Human-Robot Collaboration. IEEE Robotics Autom. Lett. 9(8): 6904-6911 (2024) - [j5]Mohammed Muqeeth, Haokun Liu, Colin Raffel:
Soft Merging of Experts with Adaptive Routing. Trans. Mach. Learn. Res. 2024 (2024) - [c16]Mohammed Muqeeth, Haokun Liu, Yufan Liu, Colin Raffel:
Learning to Route Among Specialized Experts for Zero-Shot Generalization. ICML 2024 - [i21]Mohammed Muqeeth, Haokun Liu, Yufan Liu, Colin Raffel:
Learning to Route Among Specialized Experts for Zero-Shot Generalization. CoRR abs/2402.05859 (2024) - [i20]Yangqiaoyu Zhou, Haokun Liu, Tejes Srivastava, Hongyuan Mei, Chenhao Tan:
Hypothesis Generation with Large Language Models. CoRR abs/2404.04326 (2024) - [i19]Bowen Pan, Yikang Shen, Haokun Liu, Mayank Mishra, Gaoyuan Zhang, Aude Oliva, Colin Raffel, Rameswar Panda:
Dense Training, Sparse Inference: Rethinking Training of Mixture-of-Experts Language Models. CoRR abs/2404.05567 (2024) - [i18]Haokun Liu, Yaonan Zhu, Kenji Kato, Atsushi Tsukahara, Izumi Kondo, Tadayoshi Aoyama, Yasuhisa Hasegawa:
Enhancing the LLM-Based Robot Manipulation Through Human-Robot Collaboration. CoRR abs/2406.14097 (2024) - [i17]Prateek Yadav, Colin Raffel, Mohammed Muqeeth, Lucas Caccia, Haokun Liu, Tianlong Chen, Mohit Bansal, Leshem Choshen, Alessandro Sordoni:
A Survey on Model MoErging: Recycling and Routing Among Specialized Experts for Collaborative Learning. CoRR abs/2408.07057 (2024) - 2023
- [j4]Yikang Wang, Yuhao Kang, Haokun Liu, Ce Hou, Bing Zhou, Shan Ye, Yuyan Liu, Jinmeng Rao, Zhenghao Pei, Xiang Ye, Song Gao:
Choosing GIS graduate programs from afar: Chinese students' perspectives. Trans. GIS 27(2): 450-475 (2023) - [c15]Nikhil Kandpal, Brian Lester, Mohammed Muqeeth, Anisha Mascarenhas, Monty Evans, Vishal Baskaran, Tenghao Huang, Haokun Liu, Colin Raffel:
Git-Theta: A Git Extension for Collaborative Development of Machine Learning Models. ICML 2023: 15708-15719 - [i16]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:
The Semantic Scholar Open Data Platform. CoRR abs/2301.10140 (2023) - [i15]Mohammed Muqeeth, Haokun Liu, Colin Raffel:
Soft Merging of Experts with Adaptive Routing. CoRR abs/2306.03745 (2023) - [i14]Nikhil Kandpal, Brian Lester, Mohammed Muqeeth, Anisha Mascarenhas, Monty Evans, Vishal Baskaran, Tenghao Huang, Haokun Liu, Colin Raffel:
Git-Theta: A Git Extension for Collaborative Development of Machine Learning Models. CoRR abs/2306.04529 (2023) - [i13]Haokun Liu, Yaonan Zhu, Kenji Kato, Izumi Kondo, Tadayoshi Aoyama, Yasuhisa Hasegawa:
LLM-Based Human-Robot Collaboration Framework for Manipulation Tasks. CoRR abs/2308.14972 (2023) - 2022
- [j3]Mengxi Zhang, Siqin Wang, Tao Hu, Xiaokang Fu, Xiaoyue Wang, Yaxin Hu, Briana Halloran, Zhenlong Li, Yunhe Cui, Haokun Liu, Zhimin Liu, Shuming Bao:
Human mobility and COVID-19 transmission: a systematic review and future directions. Ann. GIS 28(4): 501-514 (2022) - [c14]Xishun Yang, Wenbo Luo, Haokun Liu, Sen Zhang, Weimin Ge:
Optimal Design for the Torsional Elastic Element Topology of a Rotary Series Elastic Actuator. ACIRS 2022: 13-17 - [c13]Wenbo Luo, Haokun Liu, Xishun Yang, Sen Zhang, Weimin Ge:
A Nonlinear Disturbance Observer Based on Sliding Mode Control for a Lower Limber Exoskeleton Robot. ACIRS 2022: 29-33 - [c12]Haokun Liu, Derek Tam, Mohammed Muqeeth, Jay Mohta, Tenghao Huang, Mohit Bansal, Colin Raffel:
Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning. NeurIPS 2022 - [i12]Haokun Liu, Derek Tam, Mohammed Muqeeth, Jay Mohta, Tenghao Huang, Mohit Bansal, Colin Raffel:
Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning. CoRR abs/2205.05638 (2022) - [i11]Elena Orlova, Haokun Liu, Raphael Rossellini, Benjamin Cash, Rebecca Willett:
Beyond Ensemble Averages: Leveraging Climate Model Ensembles for Subseasonal Forecasting. CoRR abs/2211.15856 (2022) - 2021
- [c11]Clara Vania, Phu Mon Htut, William Huang, Dhara A. Mungra, Richard Yuanzhe Pang, Jason Phang, Haokun Liu, Kyunghyun Cho, Samuel R. Bowman:
Comparing Test Sets with Item Response Theory. ACL/IJCNLP (1) 2021: 1141-1158 - [c10]Jason Phang, Haokun Liu, Samuel R. Bowman:
Fine-Tuned Transformers Show Clusters of Similar Representations Across Layers. BlackboxNLP@EMNLP 2021: 529-538 - [i10]Clara Vania, Phu Mon Htut, William Huang, Dhara A. Mungra, Richard Yuanzhe Pang, Jason Phang, Haokun Liu, Kyunghyun Cho, Samuel R. Bowman:
Comparing Test Sets with Item Response Theory. CoRR abs/2106.00840 (2021) - [i9]Jason Phang, Haokun Liu, Samuel R. Bowman:
Fine-Tuned Transformers Show Clusters of Similar Representations Across Layers. CoRR abs/2109.08406 (2021) - 2020
- [j2]Alex Warstadt, Alicia Parrish, Haokun Liu, Anhad Mohananey, Wei Peng, Sheng-Fu Wang, Samuel R. Bowman:
BLiMP: The Benchmark of Linguistic Minimal Pairs for English. Trans. Assoc. Comput. Linguistics 8: 377-392 (2020) - [j1]Alex Warstadt, Alicia Parrish, Haokun Liu, Anhad Mohananey, Wei Peng, Sheng-Fu Wang, Samuel R. Bowman:
Erratum: "BLiMP: The Benchmark of Linguistic Minimal Pairs for English". Trans. Assoc. Comput. Linguistics 8: 867-868 (2020) - [c9]Yada Pruksachatkun, Philip Yeres, Haokun Liu, Jason Phang, Phu Mon Htut, Alex Wang, Ian Tenney, Samuel R. Bowman:
jiant: A Software Toolkit for Research on General-Purpose Text Understanding Models. ACL (demo) 2020: 109-117 - [c8]Yada Pruksachatkun, Jason Phang, Haokun Liu, Phu Mon Htut, Xiaoyi Zhang, Richard Yuanzhe Pang, Clara Vania, Katharina Kann, Samuel R. Bowman:
Intermediate-Task Transfer Learning with Pretrained Language Models: When and Why Does It Work? ACL 2020: 5231-5247 - [c7]William Huang, Haokun Liu, Samuel R. Bowman:
Counterfactually-Augmented SNLI Training Data Does Not Yield Better Generalization Than Unaugmented Data. Insights 2020: 82-87 - [c6]Alex Warstadt, Yian Zhang, Xiaocheng Li, Haokun Liu, Samuel R. Bowman:
Learning Which Features Matter: RoBERTa Acquires a Preference for Linguistic Generalizations (Eventually). EMNLP (1) 2020: 217-235 - [c5]Haokun Liu, William Huang, Dhara A. Mungra, Samuel R. Bowman:
Precise Task Formalization Matters in Winograd Schema Evaluations. EMNLP (1) 2020: 8275-8280 - [c4]Jason Phang, Iacer Calixto, Phu Mon Htut, Yada Pruksachatkun, Haokun Liu, Clara Vania, Katharina Kann, Samuel R. Bowman:
English Intermediate-Task Training Improves Zero-Shot Cross-Lingual Transfer Too. AACL/IJCNLP 2020: 557-575 - [i8]Yada Pruksachatkun, Philip Yeres, Haokun Liu, Jason Phang, Phu Mon Htut, Alex Wang, Ian Tenney, Samuel R. Bowman:
jiant: A Software Toolkit for Research on General-Purpose Text Understanding Models. CoRR abs/2003.02249 (2020) - [i7]Yada Pruksachatkun, Jason Phang, Haokun Liu, Phu Mon Htut, Xiaoyi Zhang, Richard Yuanzhe Pang, Clara Vania, Katharina Kann, Samuel R. Bowman:
Intermediate-Task Transfer Learning with Pretrained Models for Natural Language Understanding: When and Why Does It Work? CoRR abs/2005.00628 (2020) - [i6]Jason Phang, Phu Mon Htut, Yada Pruksachatkun, Haokun Liu, Clara Vania, Katharina Kann, Iacer Calixto, Samuel R. Bowman:
English Intermediate-Task Training Improves Zero-Shot Cross-Lingual Transfer Too. CoRR abs/2005.13013 (2020) - [i5]Haokun Liu, William Huang, Dhara A. Mungra, Samuel R. Bowman:
Precise Task Formalization Matters in Winograd Schema Evaluations. CoRR abs/2010.04043 (2020) - [i4]William Huang, Haokun Liu, Samuel R. Bowman:
Counterfactually-Augmented SNLI Training Data Does Not Yield Better Generalization Than Unaugmented Data. CoRR abs/2010.04762 (2020) - [i3]Alex Warstadt, Yian Zhang, Haau-Sing Li, Haokun Liu, Samuel R. Bowman:
Learning Which Features Matter: RoBERTa Acquires a Preference for Linguistic Generalizations (Eventually). CoRR abs/2010.05358 (2020)
2010 – 2019
- 2019
- [c3]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:
Investigating BERT's Knowledge of Language: Five Analysis Methods with NPIs. EMNLP/IJCNLP (1) 2019: 2877-2887 - [i2]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:
Investigating BERT's Knowledge of Language: Five Analysis Methods with NPIs. CoRR abs/1909.02597 (2019) - [i1]Alex Warstadt, Alicia Parrish, Haokun Liu, Anhad Mohananey, Wei Peng, Sheng-Fu Wang, Samuel R. Bowman:
BLiMP: A Benchmark of Linguistic Minimal Pairs for English. CoRR abs/1912.00582 (2019) - 2018
- [c2]Meng Zou, Xihan Li, Haokun Liu, Zhi-Hong Deng:
MEMD: A Diversity-Promoting Learning Framework for Short-Text Conversation. COLING 2018: 1281-1291 - 2015
- [c1]Xi Chen, Haokun Liu, Zhi-Hong Deng, Yunlun Yang:
Retrieving Relevant and Diverse Image from Social Media Images. MediaEval 2015
Coauthor Index
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last updated on 2024-10-23 20:33 CEST by the dblp team
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