Ganqu Cui
Publications by Year
Research Areas
Topic Modeling, Natural Language Processing Techniques, Multimodal Machine Learning Applications, Reinforcement Learning in Robotics, Adversarial Robustness in Machine Learning
Most-Cited Works
- → Graph neural networks: A review of methods and applications(2020)5,245 cited
- → Multi-scale Information Diffusion Prediction with Reinforced Recurrent Networks(2019)89 cited
- → Tool Learning with Foundation Models(2024)82 cited
- → RLHF-V: Towards Trustworthy MLLMs via Behavior Alignment from Fine-Grained Correctional Human Feedback(2024)59 cited
- → Full-Scale Information Diffusion Prediction With Reinforced Recurrent Networks(2021)49 cited
- → Exploring the Universal Vulnerability of Prompt-based Learning Paradigm(2022)42 cited
- → Why Should Adversarial Perturbations be Imperceptible? Rethink the Research Paradigm in Adversarial NLP(2022)24 cited
- → A Unified Evaluation of Textual Backdoor Learning: Frameworks and Benchmarks(2022)24 cited