| A survey on evaluation of large language models Y Chang, X Wang, J Wang, Y Wu, L Yang, K Zhu, H Chen, X Yi, C Wang, ... ACM Transactions on Intelligent Systems and Technology (TIST) 15 (3), 1-45, 2024 | 2305 | 2024 |
| PromptRobust: Towards evaluating the robustness of large language models on adversarial prompts K Zhu, J Wang, J Zhou, Z Wang, H Chen, Y Wang, L Yang, W Ye, Y Zhang, ... CCS 2024 LAMPS Workshop, 2023 | 285* | 2023 |
| The good, the bad, and why: Unveiling emotions in generative ai C Li, J Wang, Y Zhang, K Zhu, X Wang, W Hou, J Lian, F Luo, Q Yang, ... International Conference on Machine Learning (ICML), 2023 | 172* | 2023 |
| CompeteAI: Understanding the Competition Dynamics of Large Language Model-based Agents Q Zhao, J Wang, Y Zhang, Y Jin, K Zhu, H Chen, X Xie International Conference on Machine Learning (ICML), Oral, 2024 | 69 | 2024 |
| Dyval: Dynamic evaluation of large language models for reasoning tasks K Zhu, J Chen, J Wang, NZ Gong, D Yang, X Xie International Conference on Learning Representations (ICLR), Spotlight, 2024 | 52* | 2024 |
| Promptbench: A unified library for evaluation of large language models K Zhu, Q Zhao, H Chen, J Wang, X Xie JMLR MLOSS Track, 2023 | 30 | 2023 |
| Improving generalization of adversarial training via robust critical fine-tuning K Zhu, X Hu, J Wang, X Xie, G Yang International Conference on Computer Vision (ICCV), 2023 | 25 | 2023 |
| Dynamic Evaluation of Large Language Models by Meta Probing Agents K Zhu, J Wang, Q Zhao, R Xu, X Xie International Conference on Machine Learning (ICML), 2024 | 21* | 2024 |
| AgentReview: Exploring Peer Review Dynamics with LLM Agents Y Jin, Q Zhao, Y Wang, H Chen, K Zhu, Y Xiao, J Wang EMNLP, Oral, 2024 | 20 | 2024 |
| Nphardeval4v: A dynamic reasoning benchmark of multimodal large language models L Fan, W Hua, X Li, K Zhu, M Jin, L Li, H Ling, J Chi, J Wang, X Ma, ... arXiv preprint arXiv:2403.01777, 2024 | 7 | 2024 |
| Disentangling logic: The role of context in large language model reasoning capabilities W Hua, K Zhu, L Li, L Fan, S Lin, M Jin, H Xue, Z Li, JD Wang, Y Zhang arXiv preprint arXiv:2406.02787, 2024 | 5 | 2024 |
| MELON: Indirect Prompt Injection Defense via Masked Re-execution and Tool Comparison K Zhu, X Yang, J Wang, W Guo, WY Wang arXiv preprint arXiv:2502.05174, 2025 | 1 | 2025 |
| On the Trustworthiness of Generative Foundation Models: Guideline, Assessment, and Perspective Y Huang, C Gao, S Wu, H Wang, X Wang, Y Zhou, Y Wang, J Ye, J Shi, ... arXiv preprint arXiv:2502.14296, 2025 | | 2025 |
| Understanding and Mitigating the Bias Inheritance in LLM-based Data Augmentation on Downstream Tasks M Li, H Chen, Y Wang, T Zhu, W Zhang, K Zhu, KF Wong, J Wang arXiv preprint arXiv:2502.04419, 2025 | | 2025 |
| Flatter Minima of Loss Landscapes Correspond with Strong Corruption Robustness L Zhong, K Zhu, G Yang International Conference on Pattern Recognition, 314-328, 2024 | | 2024 |
Jindong WangAssistant Professor, William & Mary; Ex Senior Researcher, Microsoft ResearchПідтверджена електронна адреса в wm.edu