Shengding Hu
Publications by Year
Research Areas
Topic Modeling, Natural Language Processing Techniques, Multimodal Machine Learning Applications, Advanced Graph Neural Networks, Text Readability and Simplification
Most-Cited Works
- → Graph neural networks: A review of methods and applications(2020)5,235 cited
- → Parameter-efficient fine-tuning of large-scale pre-trained language models(2023)809 cited
- → Knowledgeable Prompt-tuning: Incorporating Knowledge into Prompt Verbalizer for Text Classification(2022)250 cited
- → OpenPrompt: An Open-source Framework for Prompt-learning(2022)177 cited
- → Delta Tuning: A Comprehensive Study of Parameter Efficient Methods for Pre-trained Language Models(2022)122 cited
- → Enhancing Chat Language Models by Scaling High-quality Instructional Conversations(2023)82 cited
- → Tool Learning with Foundation Models(2024)81 cited