Retrieving Relevant and Diverse Image from Social Media Images. - Xi Chen; Haokun Liu; Zhi-Hong Deng 001; Yunlun Yang (MediaEval, 2015)

MEMD: A Diversity-Promoting Learning Framework for Short-Text Conversation. - Meng Zou; Xihan Li 001; Haokun Liu; Zhi-Hong Deng 001 (COLING, 2018)

Investigating BERT's Knowledge of Language: Five Analysis Methods with NPIs. - Alex Warstadt; Yu Cao; Ioana Grosu; Wei Peng 013; Hagen Blix; Yining Nie; Anna Alsop; Shikha Bordia; Haokun Liu; Alicia Parrish; Sheng-Fu Wang; Jason Phang; et al. (EMNLP/IJCNLP (1), 2019)

Counterfactually-Augmented SNLI Training Data Does Not Yield Better Generalization Than Unaugmented Data. - William Huang; Haokun Liu; Samuel R. Bowman (Insights, 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 (ACL, 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 (ACL (demo), 2020)

Precise Task Formalization Matters in Winograd Schema Evaluations. - Haokun Liu; William Huang; Dhara A. Mungra; Samuel R. Bowman (EMNLP (1), 2020)

Learning Which Features Matter: RoBERTa Acquires a Preference for Linguistic Generalizations (Eventually). - Alex Warstadt; Yian Zhang; Xiaocheng Li; Haokun Liu; Samuel R. Bowman (EMNLP (1), 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 (AACL/IJCNLP, 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)

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)

BLiMP: The Benchmark of Linguistic Minimal Pairs for English. - Alex Warstadt; Alicia Parrish; Haokun Liu; Anhad Mohananey; Wei Peng 013; Sheng-Fu Wang; Samuel R. Bowman (Trans. Assoc. Comput. Linguistics, 2020)

Erratum: "BLiMP: The Benchmark of Linguistic Minimal Pairs for English". - Alex Warstadt; Alicia Parrish; Haokun Liu; Anhad Mohananey; Wei Peng 013; Sheng-Fu Wang; Samuel R. Bowman (Trans. Assoc. Comput. Linguistics, 2020)

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 (ACL/IJCNLP (1), 2021)

Fine-Tuned Transformers Show Clusters of Similar Representations Across Layers. - Jason Phang; Haokun Liu; Samuel R. Bowman (BlackboxNLP@EMNLP, 2021)

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 (ACIRS, 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 (ACIRS, 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 (NeurIPS, 2022)

Human mobility and COVID-19 transmission: a systematic review and future directions. - Mengxi Zhang; Siqin Wang; Tao Hu 004; Xiaokang Fu; Xiaoyue Wang; Yaxin Hu 003; Briana Halloran; Zhenlong Li; Yunhe Cui; Haokun Liu; Zhimin Liu; Shuming Bao (Ann. GIS, 2022)

Beyond Ensemble Averages: Leveraging Climate Model Ensembles for Subseasonal Forecasting. - Elena Orlova; Haokun Liu; Raphael Rossellini; Benjamin Cash; Rebecca Willett (CoRR, 2022)

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 (ICML, 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; et al. (CoRR, 2023)

LLM-Based Human-Robot Collaboration Framework for Manipulation Tasks. - Haokun Liu; Yaonan Zhu; Kenji Kato; Izumi Kondo; Tadayoshi Aoyama; Yasuhisa Hasegawa (CoRR, 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 001 (Trans. GIS, 2023)

Learning to Route Among Specialized Experts for Zero-Shot Generalization. - Mohammed Muqeeth; Haokun Liu; Yufan Liu; Colin Raffel (ICML, 2024)

Hypothesis Generation with Large Language Models. - Yangqiaoyu Zhou; Haokun Liu; Tejes Srivastava; Hongyuan Mei; Chenhao Tan (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)

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)

Soft Merging of Experts with Adaptive Routing. - Mohammed Muqeeth; Haokun Liu; Colin Raffel (Trans. Mach. Learn. Res., 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., 2024)

Fast CU partition algorithm based on swin-transformer for depth intra coding in 3D-HEVC. - Shucen Liu; Shaoguo Cui; Tiansong Li; Haokun Liu; Qingsong Yang; Hao Yang (Multim. Tools Appl., 2024)

Literature Meets Data: A Synergistic Approach to Hypothesis Generation. - Haokun Liu; Yangqiaoyu Zhou; Mingxuan Li; Chenfei Yuan; Chenhao Tan (ACL (1), 2025)

Explore the Reasoning Capability of LLMs in the Chess Testbed. - Shu Wang 002; Lei Ji 001; Renxi Wang; Wenxiao Zhao; Haokun Liu; Yifan Hou; Ying Nian Wu (NAACL (Short Papers), 2025)

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 001; Mohit Bansal; Leshem Choshen; Alessandro Sordoni (Trans. Mach. Learn. Res., 2025)

HypoBench: Towards Systematic and Principled Benchmarking for Hypothesis Generation. - Haokun Liu; Sicong Huang 001; Jingyu Hu; Yangqiaoyu Zhou; Chenhao Tan (CoRR, 2025)

Enhancing Training Data Attribution with Representational Optimization. - Weiwei Sun; Haokun Liu; Nikhil Kandpal; Colin Raffel; Yiming Yang (CoRR, 2025)

Hierarchical Language Models for Semantic Navigation and Manipulation in an Aerial-Ground Robotic System. - Haokun Liu; Zhaoqi Ma; Yunong Li; Junichiro Sugihara; Yicheng Chen; Jinjie Li; Moju Zhao (CoRR, 2025)

Where are GIScience Faculty Hired from? Analyzing Faculty Mobility and Research Themes Through Hiring Networks. - 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 (CoRR, 2025)