Wang, Zhilin

Defense Strategies Toward Model Poisoning Attacks in Federated Learning: A Survey

Wang, Z., Kang, Q., Zhang, X., & Hu, Q. (2022) · 2022 IEEE Wireless Communications and Networking Conference (WCNC)

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 41

Humanoid Agents: Platform for Simulating Human-like Generative Agents

Wang, Z., Chiu, Y. Y., & Chiu, Y. C. (2023) · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations

Psychiatry, Mental Health, NeuroscienceMulti-Agent Systems and Negotiation

Cited by 21

Humanoid Agents: Platform for Simulating Human-like Generative Agents

Wang, Z., Chiu, Y. Y., & Chiu, Y. C. (2023) · arXiv

Psychiatry, Mental Health, NeuroscienceMulti-Agent Systems and Negotiation

Cited by 21

SteerLM: Attribute Conditioned SFT as an (User-Steerable) Alternative to RLHF

Dong, Y., Wang, Z., Sreedhar, M., Wu, X., & Kuchaiev, O. (2023) · Findings of the Association for Computational Linguistics: EMNLP 2023

Topic ModelingNatural Language Processing Techniques

Cited by 15

HelpSteer2: Open-source dataset for training top-performing reward models

Wang, Z., Dong, Y., Delalleau, O., Zeng, J., Shen, G., Egert, D., Zhang, J. J., Sreedhar, M. N., & Kuchaiev, O. (2024) · arXiv

Reinforcement Learning in RoboticsTopic Modeling

Cited by 7