Li, Guohao

LLM-based agentic systems in medicine and healthcare

Qiu, J., Lam, K., Li, G., Acharya, A., Wong, T. Y., Darzi, A., Yuan, W., & Topol, E. J. (2024) · Nature Machine Intelligence

Artificial Intelligence in Healthcare and EducationTechnology and Human Factors in Education and Health

Cited by 168

Mindstorms in Natural Language-Based Societies of Mind

Zhuge, M., Liu, H., Faccio, F., Ashley, D. R., Csordás, R., Gopalakrishnan, A., Hamdi, A., Hammoud, H. A. A. K., Herrmann, V., Irie, K., et al. (2023) · arXiv

Multimodal Machine Learning ApplicationsMulti-Agent Systems and Negotiation

Cited by 24

Mindstorms in Natural Language-Based Societies of Mind

Zhuge, M., Liu, H., Faccio, F., Ashley, D. R., Csordás, R., Gopalakrishnan, A., Hamdi, A., Hammoud, H. A. A. K., Herrmann, V., Irie, K., et al. (2025) · Computational Visual Media

Multimodal Machine Learning ApplicationsMulti-Agent Systems and Negotiation

Cited by 24

A Scalable Communication Protocol for Networks of Large Language Models

Marro, S., La Malfa, E., Wright, J., Li, G., Shadbolt, N., Wooldridge, M., & Torr, P. (2024) · arXiv

Multi-Agent Systems and NegotiationArtificial Intelligence Applications

Cited by 2

ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization

Wang, Y., Yang, L., Li, G., Wang, M., & Aragam, B. (2025) · arXiv

Natural Language Processing TechniquesMulti-Agent Systems and Negotiation

Cited by 0