Wu, Yiran

AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation

Wu, Q., Bansal, G., Zhang, J., Wu, Y., Li, B., Zhu, E., Jiang, L., Zhang, X., Zhang, S., Liu, J., et al. (2023) · arXiv

Multi-Agent Systems and NegotiationArtificial Intelligence Applications

Cited by 193

MathChat: Converse to Tackle Challenging Math Problems with LLM Agents

Wu, Y., Jia, F., Zhang, S., Li, H., Zhu, E., Wang, Y., Lee, Y. T., Peng, R., Wu, Q., & Wang, C. (2023) · arXiv

Artificial Intelligence ApplicationsMathematics, Computing, and Information Processing

Cited by 98

AutoDefense: Multi-Agent LLM Defense against Jailbreak Attacks

Zeng, Y., Wu, Y., Zhang, X., Wang, H., & Wu, Q. (2024) · arXiv

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 17