Hua, Wenyue

The Impact of Reasoning Step Length on Large Language Models

Jin, M., Yu, Q., Shu, D., Zhao, H., Hua, W., Meng, Y., Zhang, Y., & Du, M. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 39

War and Peace (WarAgent): Large Language Model-based Multi-Agent Simulation of World Wars

Hua, W., Fan, L., Li, L., Mei, K., Ji, J., Ge, Y., Hemphill, L., & Zhang, Y. (2023) · arXiv

Multi-Agent Systems and NegotiationArtificial Intelligence in Games

Cited by 15

MultiAgent Collaboration Attack: Investigating Adversarial Attacks in Large Language Model Collaborations via Debate

Amayuelas, A., Yang, X., Antoniades, A., Hua, W., Pan, L., & Wang, W. Y. (2024) · Findings of the Association for Computational Linguistics: EMNLP 2024

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 15

MemGym: a Long-Horizon Memory Environment for LLM Agents

Xu, W., Wang, Y., Mei, K., Liang, K., Wang, Z., Jin, M., Zhang, H., Zhang, S.-X., Hua, W., Sahu, S., et al. (2026) · arXiv

AI-based Problem Solving and PlanningInformation Retrieval and Search Behavior

Cited by 11

AutoFlow: Automated Workflow Generation for Large Language Model Agents

Li, Z., Xu, S., Mei, K., Hua, W., Rama, B., Raheja, O., Wang, H., Zhu, H., & Zhang, Y. (2024) · arXiv

AI-based Problem Solving and PlanningNatural Language Processing Techniques

Cited by 6