Wen, Muning

Alphazero-like Tree-Search can Guide Large Language Model Decoding and Training

Feng, X., Wan, Z., Wen, M., McAleer, S. M., Wen, Y., Zhang, W., & Wang, J. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 4

MAPLE-Guard: Memory-Aware Link Enforcement Against Memory-Link Poisoning in Multi-Agent Systems

Xiong, W., Zhou, Y., Wang, J., Gu, S., Tang, B., Li, Z., Xiong, F., Wen, Y., & Wen, M. (2026) · arXiv

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 2

Understanding Agent Scaling in LLM-Based Multi-Agent Systems via Diversity

Yang, Y., Qu, C., Wen, M., Shi, L., Wen, Y., Zhang, W., Wierman, A., & Gu, S. (2026) · arXiv

Multi-Agent Systems and NegotiationReinforcement Learning in Robotics

Cited by 1

PARL-MT: Learning to Call Functions in Multi-Turn Conversation with Progress Awareness

Chai, H., Cao, Z., Ran, M., Yang, Y., Lin, J., Peng, X., Wang, H., Ding, R., Wan, Z., Wen, M., et al. (2025) · arXiv

Speech and dialogue systemsNatural Language Processing Techniques

Cited by 0

MARFT: Multi-Agent Reinforcement Fine-Tuning

Liao, J., Wen, M., Wang, J., & Zhang, W. (2025) · arXiv

Reinforcement Learning in RoboticsMulti-Agent Systems and Negotiation

Cited by 0

Holos: A Web-Scale LLM-Based Multi-Agent System for the Agentic Web

Nie, X., Guo, Z., Cui, Z., Yang, J., Chen, Z., De, L., Zhang, Y., Liao, J., Huang, B., Yang, Y., et al. (2026) · arXiv

Multi-Agent Systems and NegotiationArtificial Intelligence Applications

Cited by 0