Zhang, Shaokun

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

Offline Training of Language Model Agents with Functions as Learnable Weights

Zhang, S., Zhang, J., Liu, J., Song, L., Wang, C., Krishna, R., & Wu, Q. (2024) · arXiv

Topic ModelingArtificial Intelligence Applications

Cited by 17

Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems

Liu, B., Li, X., Zhang, J., Wang, J., He, T., Hong, S., Liu, H., Zhang, S., Song, K., Zhu, K., et al. (2025) · arXiv

Psychiatry, Mental Health, NeuroscienceArtificial Intelligence Applications

Cited by 16