Kaijie Zhu
Publications by Year
Research Areas
Topic Modeling, Natural Language Processing Techniques, Adversarial Robustness in Machine Learning, Semantic Web and Ontologies, Anomaly Detection Techniques and Applications
Most-Cited Works
- → A Survey on Evaluation of Large Language Models(2024)2,208 cited
- → PromptRobust: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts(2023)68 cited
- → Large Language Models Understand and Can be Enhanced by Emotional Stimuli(2023)57 cited
- → Improving Generalization of Adversarial Training via Robust Critical Fine-Tuning(2023)21 cited
- → The Good, The Bad, and Why: Unveiling Emotions in Generative AI(2023)7 cited
- → CompeteAI: Understanding the Competition Dynamics in Large Language Model-based Agents(2023)7 cited
- → Disentangling Logic: The Role of Context in Large Language Model Reasoning Capabilities(2025)1 cited