Hongkun Yu
University of Wisconsin–Madison(US)
Publications by Year
Research Areas
Natural Language Processing Techniques, Topic Modeling, Multimodal Machine Learning Applications, Catalytic Processes in Materials Science, Domain Adaptation and Few-Shot Learning
Most-Cited Works
- → Scaling Instruction-Finetuned Language Models(2022)1,181 cited
- → Large Language Models Can Self-Improve(2023)175 cited
- → Mixture-of-Experts Meets Instruction Tuning:A Winning Combination for Large Language Models(2023)20 cited
- → Deep Learning From Imaging Genetics for Schizophrenia Classification(2022)9 cited
- → EncT5: A Framework for Fine-tuning T5 as Non-autoregressive Models(2021)3 cited
- → Augmentation with Projection: Towards an Effective and Efficient Data Augmentation Paradigm for Distillation(2022)2 cited
- → Merlin: a computed tomography vision–language foundation model and dataset(2026)2 cited
- → Enabling Language Models to Implicitly Learn Self-Improvement(2023)1 cited
- → Preparation, Hydrodesulfurization and Hydrodenitrogenation Performance of a Ni<sub>2</sub>P/TiO<sub>2</sub>-Al<sub>2</sub>O<sub>3</sub> Catalyst(2010)1 cited