Liang, Yitao

ProAgent: Building Proactive Cooperative Agents with Large Language Models

Zhang, C., Yang, K., Hu, S., Wang, Z., Li, G., Sun, Y., Zhang, C., Zhang, Z., Liu, A., Zhu, S.-C., et al. (2024) · Proceedings of the AAAI Conference on Artificial Intelligence

Reinforcement Learning in RoboticsMulti-Agent Systems and Negotiation

Cited by 88

Large Language Models are In-Context Semantic Reasoners rather than Symbolic Reasoners

Tang, X., Zheng, Z., Li, J., Meng, F., Zhu, S.-C., Liang, Y., & Zhang, M. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 37

JARVIS -1: Open-World Multi-Task Agents With Memory-Augmented Multimodal Language Models

Wang, Z., Cai, S., Liu, A., Jin, Y., Hou, J., Zhang, B., Lin, H., He, Z., Zheng, Z., Yang, Y., et al. (2025) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Reinforcement Learning in RoboticsAI-based Problem Solving and Planning

Cited by 36

JARVIS-1: Open-World Multi-task Agents with Memory-Augmented Multimodal Language Models

Wang, Z., Cai, S., Liu, A., Jin, Y., Hou, J., Zhang, B., Lin, H., He, Z., Zheng, Z., Yang, Y., et al. (2023) · arXiv

Reinforcement Learning in RoboticsAI-based Problem Solving and Planning

Cited by 6

Quantification of Large Language Model Distillation

Lee, S., Zhou, J., Ao, C., Li, K., Du, X., He, S., Wu, H., Liu, T., Liu, J., Alinejad-Rokny, H., et al. (2025) · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 4