Liu, Haokun

7 publications

TMLR 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, Mohit Bansal, Leshem Choshen, Alessandro Sordoni

NeurIPS 2025 Enhancing Training Data Attribution with Representational Optimization Weiwei Sun, Haokun Liu, Nikhil Kandpal, Colin Raffel, Yiming Yang

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

TMLR 2024 Soft Merging of Experts with Adaptive Routing Mohammed Muqeeth, Haokun Liu, Colin Raffel

ICML 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

NeurIPS 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 A Raffel

NeurIPSW 2022 Models with Conditional Computation Learn Suboptimal Solutions Muqeeth Mohammed, Haokun Liu, Colin Raffel