Chen, Hao

PromptRobust: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts

Zhu, K., Wang, J., Zhou, J., Wang, Z., Chen, H., Wang, Y., Yang, L., Ye, W., Zhang, Y., Gong, N. Z., et al. (2023) · arXiv

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 153

PromptRobust: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts

Zhu, K., Wang, J., Zhou, J., Wang, Z., Chen, H., Wang, Y., Yang, L., Ye, W., Zhang, Y., Gong, N., et al. (2023) · Proceedings of the 1st ACM Workshop on Large AI Systems and Models with Privacy and Safety Analysis

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 151

Spatial mapping of cellular senescence: emerging challenges and opportunities

Gurkar, A. U., Gerencser, A. A., Mora, A. L., Nelson, A. C., Zhang, A. R., Lagnado, A. B., Enninful, A., Benz, C., Furman, D., Beaulieu, D., et al. (2023) · Nature Aging

Telomeres, Telomerase, and SenescenceSingle-cell and spatial transcriptomics

Cited by 141

NIH SenNet Consortium to map senescent cells throughout the human lifespan to understand physiological health.

SenNet Consortium, Writing Group, Lee, P. J., Benz, C. C., Blood, P., Börner, K., Campisi, J., Chen, F., Daldrup-Link, H., De Jager, P., et al. (2022) · Nature Aging

Telomeres, Telomerase, and SenescenceGenetics, Aging, and Longevity in Model Organisms

Cited by 122

Teaching Small Language Models Reasoning through Counterfactual Distillation

Feng, T., Li, Y., Chenglin, L., Chen, H., Yu, F., & Zhang, Y. (2024) · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 3