Haokun Liu - RankMe

60 papers A* 4A 1B 1Journal 41Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CoFL: Continuous Flow Fields for Language-Conditioned Navigation. CoRR Haokun Liu, Zhaoqi Ma, Yicheng Chen, Masaki Kitagawa, Wentao Zhang, Jinjie Li, Moju Zhao
2026	J	`jnl`	Hierarchical Trajectory Planning of Floating-Base Multi-Link Robot for Maneuvering in Confined Environments. CoRR Yicheng Chen, Jinjie Li, Haokun Liu, Zicheng Luo, Kotaro Kaneko, Moju Zhao
2026	J	`jnl`	Hierarchical Trajectory Planning of Floating-Base Multi-Link Robot for Maneuvering in Confined Environments. IEEE Trans Autom. Sci. Eng. Yicheng Chen, Jinjie Li, Haokun Liu, Zicheng Luo, Kotaro Kaneko, Moju Zhao
2026	J	`jnl`	Learning Agile and Robust Omnidirectional Aerial Motion on Overactuated Tiltable-Quadrotors. CoRR Wentao Zhang, Zhaoqi Ma, Jinjie Li, Huayi Wang, Haokun Liu, Junichiro Sugihara, Chen Chen, Yicheng Chen, Moju Zhao
2026	J	`jnl`	The Appeal and Reality of Recycling LoRAs with Adaptive Merging. CoRR Haokun Liu, Gyung Hyun Je, Marco Ciccone, Zhenlin Xu, Prasanth YSS, Colin Raffel
2025	J	`jnl`	A Survey on Model MoErging: Recycling and Routing Among Specialized Experts for Collaborative Learning. Trans. Mach. Learn. Res. Prateek Yadav, Colin Raffel, Mohammed Muqeeth, Lucas Caccia, Haokun Liu, Tianlong Chen, Mohit Bansal, Leshem Choshen, Alessandro Sordoni
2025	J	`jnl`	Enhancing Training Data Attribution with Representational Optimization. CoRR Weiwei Sun, Haokun Liu, Nikhil Kandpal, Colin Raffel, Yiming Yang
2025	—	`conf`	Explore the Reasoning Capability of LLMs in the Chess Testbed. NAACL (Short Papers) Shu Wang, Lei Ji, Renxi Wang, Wenxiao Zhao, Haokun Liu, Yifan Hou, Ying Nian Wu
2025	J	`jnl`	Hierarchical Language Models for Semantic Navigation and Manipulation in an Aerial-Ground Robotic System. CoRR Haokun Liu, Zhaoqi Ma, Yunong Li, Junichiro Sugihara, Yicheng Chen, Jinjie Li, Moju Zhao
2025	J	`jnl`	HypoBench: Towards Systematic and Principled Benchmarking for Hypothesis Generation. CoRR Haokun Liu, Sicong Huang, Jingyu Hu, Yangqiaoyu Zhou, Chenhao Tan
2025	—	`conf`	Literature Meets Data: A Synergistic Approach to Hypothesis Generation. ACL (1) Haokun Liu, Yangqiaoyu Zhou, Mingxuan Li, Chenfei Yuan, Chenhao Tan
2025	A	`conf`	Six-DoF Hand-Based Teleoperation for Omnidirectional Aerial Robots. IROS Jinjie Li, Jiaxuan Li, Kotaro Kaneko, Haokun Liu, Liming Shu, Moju Zhao
2025	J	`jnl`	Where are GIScience Faculty Hired from? Analyzing Faculty Mobility and Research Themes Through Hiring Networks. CoRR Yanbing Chen, Jonathan Nelson, Bing Zhou, Ryan Zhenqi Zhou, Shan Ye, Haokun Liu, Zhining Gu, Armita Kar, Hoeyun Kwon, Pengyu Chen, Maoran Sun, Yuhao Kang
2024	J	`jnl`	A Survey on Model MoErging: Recycling and Routing Among Specialized Experts for Collaborative Learning. CoRR Prateek Yadav, Colin Raffel, Mohammed Muqeeth, Lucas Caccia, Haokun Liu, Tianlong Chen, Mohit Bansal, Leshem Choshen, Alessandro Sordoni
2024	J	`jnl`	A fast intra CU partition algorithm in Versatile Video Coding for 360-degree video. J. Vis. Commun. Image Represent. Yan Chen, Tiansong Li, Haokun Liu, Shaoguo Cui, Li Yu, Kejun Wu, Hongkui Wang
2024	J	`jnl`	Dense Training, Sparse Inference: Rethinking Training of Mixture-of-Experts Language Models. CoRR Bowen Pan, Yikang Shen, Haokun Liu, Mayank Mishra, Gaoyuan Zhang, Aude Oliva, Colin Raffel, Rameswar Panda
2024	J	`jnl`	Enhancing the LLM-Based Robot Manipulation Through Human-Robot Collaboration. CoRR Haokun Liu, Yaonan Zhu, Kenji Kato, Atsushi Tsukahara, Izumi Kondo, Tadayoshi Aoyama, Yasuhisa Hasegawa
2024	J	`jnl`	Enhancing the LLM-Based Robot Manipulation Through Human-Robot Collaboration. IEEE Robotics Autom. Lett. Haokun Liu, Yaonan Zhu, Kenji Kato, Atsushi Tsukahara, Izumi Kondo, Tadayoshi Aoyama, Yasuhisa Hasegawa
2024	J	`jnl`	Explore the Reasoning Capability of LLMs in the Chess Testbed. CoRR Shu Wang, Lei Ji, Renxi Wang, Wenxiao Zhao, Haokun Liu, Yifan Hou, Ying Nian Wu
2024	J	`jnl`	Fast CU partition algorithm based on swin-transformer for depth intra coding in 3D-HEVC. Multim. Tools Appl. Shucen Liu, Shaoguo Cui, Tiansong Li, Haokun Liu, Qingsong Yang, Hao Yang
2024	J	`jnl`	Hypothesis Generation with Large Language Models. CoRR Yangqiaoyu Zhou, Haokun Liu, Tejes Srivastava, Hongyuan Mei, Chenhao Tan
2024	A*	`conf`	Learning to Route Among Specialized Experts for Zero-Shot Generalization. ICML Mohammed Muqeeth, Haokun Liu, Yufan Liu, Colin Raffel
2024	J	`jnl`	Learning to Route Among Specialized Experts for Zero-Shot Generalization. CoRR Mohammed Muqeeth, Haokun Liu, Yufan Liu, Colin Raffel
2024	J	`jnl`	Literature Meets Data: A Synergistic Approach to Hypothesis Generation. CoRR Haokun Liu, Yangqiaoyu Zhou, Mingxuan Li, Chenfei Yuan, Chenhao Tan
2024	J	`jnl`	Soft Merging of Experts with Adaptive Routing. Trans. Mach. Learn. Res. Mohammed Muqeeth, Haokun Liu, Colin Raffel
2023	J	`jnl`	Choosing GIS graduate programs from afar: Chinese students' perspectives. Trans. GIS Yikang Wang, Yuhao Kang, Haokun Liu, Ce Hou, Bing Zhou, Shan Ye, Yuyan Liu, Jinmeng Rao, Zhenghao Pei, Xiang Ye, Song Gao
2023	A*	`conf`	Git-Theta: A Git Extension for Collaborative Development of Machine Learning Models. ICML Nikhil Kandpal, Brian Lester, Mohammed Muqeeth, Anisha Mascarenhas, Monty Evans, Vishal Baskaran, Tenghao Huang, Haokun Liu, Colin Raffel
2023	J	`jnl`	Git-Theta: A Git Extension for Collaborative Development of Machine Learning Models. CoRR Nikhil Kandpal, Brian Lester, Mohammed Muqeeth, Anisha Mascarenhas, Monty Evans, Vishal Baskaran, Tenghao Huang, Haokun Liu, Colin Raffel
2023	J	`jnl`	LLM-Based Human-Robot Collaboration Framework for Manipulation Tasks. CoRR Haokun Liu, Yaonan Zhu, Kenji Kato, Izumi Kondo, Tadayoshi Aoyama, Yasuhisa Hasegawa
2023	J	`jnl`	Soft Merging of Experts with Adaptive Routing. CoRR Mohammed Muqeeth, Haokun Liu, Colin Raffel
2023	J	`jnl`	The Semantic Scholar Open Data Platform. CoRR 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
2022	—	`conf`	A Nonlinear Disturbance Observer Based on Sliding Mode Control for a Lower Limber Exoskeleton Robot. ACIRS Wenbo Luo, Haokun Liu, Xishun Yang, Sen Zhang, Weimin Ge
2022	J	`jnl`	Beyond Ensemble Averages: Leveraging Climate Model Ensembles for Subseasonal Forecasting. CoRR Elena Orlova, Haokun Liu, Raphael Rossellini, Benjamin Cash, Rebecca Willett
2022	A*	`conf`	Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning. NeurIPS Haokun Liu, Derek Tam, Mohammed Muqeeth, Jay Mohta, Tenghao Huang, Mohit Bansal, Colin Raffel
2022	J	`jnl`	Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning. CoRR Haokun Liu, Derek Tam, Mohammed Muqeeth, Jay Mohta, Tenghao Huang, Mohit Bansal, Colin Raffel
2022	J	`jnl`	Human mobility and COVID-19 transmission: a systematic review and future directions. Ann. GIS Mengxi Zhang, Siqin Wang, Tao Hu, Xiaokang Fu, Xiaoyue Wang, Yaxin Hu, Briana Halloran, Zhenlong Li, Yunhe Cui, Haokun Liu, Zhimin Liu, Shuming Bao
2022	—	`conf`	Optimal Design for the Torsional Elastic Element Topology of a Rotary Series Elastic Actuator. ACIRS Xishun Yang, Wenbo Luo, Haokun Liu, Sen Zhang, Weimin Ge
2021	—	`conf`	Comparing Test Sets with Item Response Theory. ACL/IJCNLP (1) Clara Vania, Phu Mon Htut, William Huang, Dhara A. Mungra, Richard Yuanzhe Pang, Jason Phang, Haokun Liu, Kyunghyun Cho, Samuel R. Bowman
2021	J	`jnl`	Comparing Test Sets with Item Response Theory. CoRR Clara Vania, Phu Mon Htut, William Huang, Dhara A. Mungra, Richard Yuanzhe Pang, Jason Phang, Haokun Liu, Kyunghyun Cho, Samuel R. Bowman
2021	—	`conf`	Fine-Tuned Transformers Show Clusters of Similar Representations Across Layers. BlackboxNLP@EMNLP Jason Phang, Haokun Liu, Samuel R. Bowman
2021	J	`jnl`	Fine-Tuned Transformers Show Clusters of Similar Representations Across Layers. CoRR Jason Phang, Haokun Liu, Samuel R. Bowman
2020	J	`jnl`	BLiMP: The Benchmark of Linguistic Minimal Pairs for English. Trans. Assoc. Comput. Linguistics Alex Warstadt, Alicia Parrish, Haokun Liu, Anhad Mohananey, Wei Peng, Sheng-Fu Wang, Samuel R. Bowman
2020	—	`conf`	Counterfactually-Augmented SNLI Training Data Does Not Yield Better Generalization Than Unaugmented Data. Insights William Huang, Haokun Liu, Samuel R. Bowman
2020	J	`jnl`	Counterfactually-Augmented SNLI Training Data Does Not Yield Better Generalization Than Unaugmented Data. CoRR William Huang, Haokun Liu, Samuel R. Bowman
2020	—	`conf`	English Intermediate-Task Training Improves Zero-Shot Cross-Lingual Transfer Too. AACL/IJCNLP Jason Phang, Iacer Calixto, Phu Mon Htut, Yada Pruksachatkun, Haokun Liu, Clara Vania, Katharina Kann, Samuel R. Bowman
2020	J	`jnl`	English Intermediate-Task Training Improves Zero-Shot Cross-Lingual Transfer Too. CoRR Jason Phang, Phu Mon Htut, Yada Pruksachatkun, Haokun Liu, Clara Vania, Katharina Kann, Iacer Calixto, Samuel R. Bowman
2020	J	`jnl`	Erratum: "BLiMP: The Benchmark of Linguistic Minimal Pairs for English". Trans. Assoc. Comput. Linguistics Alex Warstadt, Alicia Parrish, Haokun Liu, Anhad Mohananey, Wei Peng, Sheng-Fu Wang, Samuel R. Bowman
2020	A*	`conf`	Intermediate-Task Transfer Learning with Pretrained Language Models: When and Why Does It Work? ACL Yada Pruksachatkun, Jason Phang, Haokun Liu, Phu Mon Htut, Xiaoyi Zhang, Richard Yuanzhe Pang, Clara Vania, Katharina Kann, Samuel R. Bowman
2020	J	`jnl`	Intermediate-Task Transfer Learning with Pretrained Models for Natural Language Understanding: When and Why Does It Work? CoRR Yada Pruksachatkun, Jason Phang, Haokun Liu, Phu Mon Htut, Xiaoyi Zhang, Richard Yuanzhe Pang, Clara Vania, Katharina Kann, Samuel R. Bowman
2020	—	`conf`	Learning Which Features Matter: RoBERTa Acquires a Preference for Linguistic Generalizations (Eventually). EMNLP (1) Alex Warstadt, Yian Zhang, Xiaocheng Li, Haokun Liu, Samuel R. Bowman
2020	J	`jnl`	Learning Which Features Matter: RoBERTa Acquires a Preference for Linguistic Generalizations (Eventually). CoRR Alex Warstadt, Yian Zhang, Haau-Sing Li, Haokun Liu, Samuel R. Bowman
2020	—	`conf`	Precise Task Formalization Matters in Winograd Schema Evaluations. EMNLP (1) Haokun Liu, William Huang, Dhara A. Mungra, Samuel R. Bowman
2020	J	`jnl`	Precise Task Formalization Matters in Winograd Schema Evaluations. CoRR Haokun Liu, William Huang, Dhara A. Mungra, Samuel R. Bowman
2020	—	`conf`	jiant: A Software Toolkit for Research on General-Purpose Text Understanding Models. ACL (demo) Yada Pruksachatkun, Philip Yeres, Haokun Liu, Jason Phang, Phu Mon Htut, Alex Wang, Ian Tenney, Samuel R. Bowman
2020	J	`jnl`	jiant: A Software Toolkit for Research on General-Purpose Text Understanding Models. CoRR Yada Pruksachatkun, Philip Yeres, Haokun Liu, Jason Phang, Phu Mon Htut, Alex Wang, Ian Tenney, Samuel R. Bowman
2019	J	`jnl`	BLiMP: A Benchmark of Linguistic Minimal Pairs for English. CoRR Alex Warstadt, Alicia Parrish, Haokun Liu, Anhad Mohananey, Wei Peng, Sheng-Fu Wang, Samuel R. Bowman
2019	—	`conf`	Investigating BERT's Knowledge of Language: Five Analysis Methods with NPIs. EMNLP/IJCNLP (1) 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
2019	J	`jnl`	Investigating BERT's Knowledge of Language: Five Analysis Methods with NPIs. CoRR 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
2018	B	`conf`	MEMD: A Diversity-Promoting Learning Framework for Short-Text Conversation. COLING Meng Zou, Xihan Li, Haokun Liu, Zhi-Hong Deng
2015	—	`conf`	Retrieving Relevant and Diverse Image from Social Media Images. MediaEval Xi Chen, Haokun Liu, Zhi-Hong Deng, Yunlun Yang