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Zhu Kaijie
Zhu Kaijie
在 ia.ac.cn 的电子邮件经过验证
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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
11072024
Promptbench: 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
1812023
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
100*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), 2024
26*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), 2023
17*2023
Promptbench: A unified library for evaluation of large language models
K Zhu, Q Zhao, H Chen, J Wang, X Xie
JMLR MLOSS Track, 2023
142023
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
102023
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
8*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
52024
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
22024
AgentReview: Exploring Peer Review Dynamics with LLM Agents
Y Jin, Q Zhao, Y Wang, H Chen, K Zhu, Y Xiao, J Wang
arXiv preprint arXiv:2406.12708, 2024
12024
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