Amayuelas, Alfonso

Game-theoretic LLM: Agent Workflow for Negotiation Games

Hua, W., Liu, O., Li, L., Amayuelas, A., Chen, J., Jiang, L., Jin, M., Fan, L., Sun, F., Wang, W., et al. (2024) · arXiv

Game Theory and ApplicationsMulti-Agent Systems and Negotiation

Cited by 101

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

Knowledge of Knowledge: Exploring Known-Unknowns Uncertainty with Large Language Models

Amayuelas, A., Wong, K., Pan, L., Chen, W., & Wang, W. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 15

Agents of Change: Self-Evolving LLM Agents for Strategic Planning

Belle, N., Barnes, D., Amayuelas, A., Bercovich, I., Wang, X. E., & Wang, W. (2025) · arXiv

Artificial Intelligence in GamesAI-based Problem Solving and Planning

Cited by 0

Heuresis: Search Strategies for Autonomous AI Research Agents Across Quality, Diversity and Novelty

Antoniades, A., Nathani, D., Saha, R., Amayuelas, A., Bercovich, I., Weng, Z., Baskaran, V., Bhatia, K., & Wang, W. Y. (2026) · arXiv

Evolutionary Algorithms and ApplicationsReinforcement Learning in Robotics

Cited by 0