Publications (35)
CoFL-S: Spatially Queryable Sector Flow Fields for Local Language-Conditioned Navigation
Haokun Liu, Zhaoqi Ma, Yicheng Chen +5
The Semantic Scholar Open Data Platform
Rodney Kinney, Chloe Anastasiades, Russell Authur +45
Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning
Haokun Liu, Derek Tam, Mohammed Muqeeth +4
VERITAS: Towards a General-Purpose Replication Tool for Scientific Research
Haokun Liu, Filbert Aurelian Tjiaranata, Chenhao Tan
Where are GIScience Faculty Hired from? Analyzing Faculty Mobility and Research Themes Through Hiring Networks
Yanbing Chen, Jonathan Nelson, Bing Zhou +9
Fine-Tuned Transformers Show Clusters of Similar Representations Across Layers
Jason Phang, Haokun Liu, Samuel R. Bowman
Comparing Test Sets with Item Response Theory
Clara Vania, Phu Mon Htut, William Huang +6
Hypothesis Generation with Large Language Models
Yangqiaoyu Zhou, Haokun Liu, Tejes Srivastava +2
Learning to Route Among Specialized Experts for Zero-Shot Generalization
Mohammed Muqeeth, Haokun Liu, Yufan Liu +1
LLM-Based Human-Robot Collaboration Framework for Manipulation Tasks
Haokun Liu, Yaonan Zhu, Kenji Kato +3
A Survey on Model MoErging: Recycling and Routing Among Specialized Experts for Collaborative Learning
Prateek Yadav, Colin Raffel, Mohammed Muqeeth +6
The Appeal and Reality of Recycling LoRAs with Adaptive Merging
Haokun Liu, Gyung Hyun Je, Marco Ciccone +3
Git-Theta: A Git Extension for Collaborative Development of Machine Learning Models
Nikhil Kandpal, Brian Lester, Mohammed Muqeeth +6
Hierarchical Trajectory Planning of Floating-Base Multi-Link Robot for Maneuvering in Confined Environments
Yicheng Chen, Jinjie Li, Haokun Liu +3
Learning Graph Foundation Models on Riemannian Graph-of-Graphs
Haokun Liu, Zezhong Ding, Xike Xie
CoFL: Continuous Flow Fields for Language-Conditioned Navigation
Haokun Liu, Zhaoqi Ma, Yicheng Chen +5
Soft Merging of Experts with Adaptive Routing
Mohammed Muqeeth, Haokun Liu, Colin Raffel
Intermediate-Task Transfer Learning with Pretrained Models for Natural Language Understanding: When and Why Does It Work?
Yada Pruksachatkun, Jason Phang, Haokun Liu +6
Dense Training, Sparse Inference: Rethinking Training of Mixture-of-Experts Language Models
Bowen Pan, Yikang Shen, Haokun Liu +5
English Intermediate-Task Training Improves Zero-Shot Cross-Lingual Transfer Too
Jason Phang, Iacer Calixto, Phu Mon Htut +5
Learning Agile and Robust Omnidirectional Aerial Motion on Overactuated Tiltable-Quadrotors
Wentao Zhang, Zhaoqi Ma, Jinjie Li +6
Enhancing Training Data Attribution with Representational Optimization
Weiwei Sun, Haokun Liu, Nikhil Kandpal +2
Literature Meets Data: A Synergistic Approach to Hypothesis Generation
Haokun Liu, Yangqiaoyu Zhou, Mingxuan Li +2
Beyond Ensemble Averages: Leveraging Climate Model Ensembles for Subseasonal Forecasting
Elena Orlova, Haokun Liu, Raphael Rossellini +2
jiant: A Software Toolkit for Research on General-Purpose Text Understanding Models
Yada Pruksachatkun, Phil Yeres, Haokun Liu +5
BLiMP: The Benchmark of Linguistic Minimal Pairs for English
Alex Warstadt, Alicia Parrish, Haokun Liu +4
HypoBench: Towards Systematic and Principled Benchmarking for Hypothesis Generation
Haokun Liu, Sicong Huang, Jingyu Hu +2
Explore the Reasoning Capability of LLMs in the Chess Testbed
Shu Wang, Lei Ji, Renxi Wang +4
Hierarchical Language Models for Semantic Navigation and Manipulation in an Aerial-Ground Robotic System
Haokun Liu, Zhaoqi Ma, Yunong Li +4
Six-DoF Hand-Based Teleoperation for Omnidirectional Aerial Robots
Jinjie Li, Jiaxuan Li, Kotaro Kaneko +3
Investigating BERT's Knowledge of Language: Five Analysis Methods with NPIs
Alex Warstadt, Yu Cao, Ioana Grosu +13
Learning Which Features Matter: RoBERTa Acquires a Preference for Linguistic Generalizations (Eventually)
Alex Warstadt, Yian Zhang, Haau-Sing Li +2
Enhancing the LLM-Based Robot Manipulation Through Human-Robot Collaboration
Haokun Liu, Yaonan Zhu, Kenji Kato +4
Precise Task Formalization Matters in Winograd Schema Evaluations
Haokun Liu, William Huang, Dhara A. Mungra +1
Counterfactually-Augmented SNLI Training Data Does Not Yield Better Generalization Than Unaugmented Data
William Huang, Haokun Liu, Samuel R. Bowman