References
- A. Vaswani, N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A. N. Gomez, Ł. Kaiser, I. Polosukhin, Attention is all you need, Advances in Neural Information Processing Systems, 30, Curran Associates, Inc., 2017.
- J. Wei, X. Wang, D. Schuurmans, M. Bosma, B. Ichter, F. Xia, E. H. Chi, Q. V. Le, D. Zhou, Chain-of-thought prompting elicits reasoning in large language models, Proceedings of the 36th International Conference on Neural Information Processing Systems, pp. 24824–24837, Red Hook, New York, 2022. https://dl.acm.org/doi/10.5555/3600270.3602070
- S. Han, Q. Zhang, Y. Yao, W. Jin, Z. Xu, C. He. LLM Multi-Agent Systems: Challenges and Open Problems, preprint, arXiv:2402.03578, 2024. https://doi.org/10.48550/arXiv.2402.03578
- B. Yan, X. Zhang, L. Zhang, L. Zhang, Z. Zhou, D. Miao, C. Li, Beyond Self‑Talk: A Communication‑Centric Survey of LLM‑Based Multi‑Agent Systems, preprint, arXiv:2502.14321, 2025. https://doi.org/10.48550/arXiv.2502.14321
- S. Mu, S. Lin, A Comprehensive Survey of Mixture-of-Experts: Algorithms, Theory, and Applications, preprint, arXiv:2503.07137, 2025. https://doi.org/10.48550/arXiv.2503.0713
- L. Ma, R. Zhang, Y. Han, S. Yu, Z. Wang, Z. Ning, J. Zhang, P. Xu, P. Li, W. Ju, C. Chen, D. Wang, K. Liu, P. Wang, P. Wang, Y. Fu, C. Liu, Y. Zhou, C.-T. Lu. A Comprehensive Survey on Vector Database: Storage and Retrieval Technique, Challenge, preprint, arXiv:2310.11703, 2021.
- J. Pan, J. Wang, G. Li, Survey of Vector Database Management Systems, VLDB J., 33, pp. 1591-1615, 2023. https://doi.org/10.48550/arXiv.2310.14021
- D. M. Wegner, Transactive memory: A contemporary analysis of the group mind, Theories of group behavior, pp. 185–205, Springer-Verlag, New York, 1986.
- M. Catasta, A. Tonon, D. E. Difallah, G. Demartini, K. Aberer, P. Cudré‑Mauroux, TransactiveDB: Tapping into Collective Human Memories, Proc. VLDB Endow., 7 (14), pp. 1977-1980, 2014. https://www.vldb.org/pvldb/vol7/p1977-catasta.pdf
- H. Y. Shang, X. Liu, Z. Liang, J. Zhang, H. Hu, S. Guo, United Minds or Isolated Agents? Exploring Coordination of LLMs under Cognitive Load Theory, preprint, arXiv:2506.06843v1, 2025. https://doi.org/10.48550/arXiv.2506.06843
- R.M. Aratchige and W. M. K. S. Ilmini, LLMs Working in Harmony: A Survey on the Technological Aspects of Building Effective LLM‑Based Multi Agent Systems, preprint, arXiv:2504.01963, 2025. https://doi.org/10.48550/arXiv.2504.01963
- H. Sun, Y. Zhuang, L. Kong, B. Dai, C. Zhang, AdaPlanner: Adaptive Planning from Feedback with Language Models, preprint, arXiv:2305.16653, 2023. https://doi.org/10.48550/arXiv.2305.16653
- S. Yao, J. Zhao, D. Yu, N. Du, I. Shafran, K. Narasimhan, and Y. Cao, ReAct: Synergizing Reasoning and Acting in Language Models, preprint, arXiv:2210.03629, 2022. https://doi.org/10.48550/arXiv.2210.03629
- S. Yao, D. Yu, J. Zhao, I. Shafran, T. L. Griffiths, Y. Cao, K. Narasimhan, Tree of Thoughts: Deliberate Problem Solving with Large Language Models, preprint, arXiv:2305.10601, 2023. https://doi.org/10.48550/arXiv.2305.10601
- L. Becchetti, A. Clementi, E. Natale, Consensus Dynamics: An Overview, ACM SIGACT News, 51 (1), pp.57, 2020. https://doi.org/10.1145/3388392.3388402
- R. Zhang, S. Eger, Llm-based multi-agent poetry generation in non-cooperative environments, preprint, arXiv:2409.03659, 2024. https://doi.org/10.48550/arXiv.2409.03659
- Q. Wang, T. Wang, Z. Tang, Q. Li, N. Chen, J. Liang, B. He, MegaAgent: A Large‑Scale Autonomous LLM‑Based Multi‑Agent System Without Predefined SOPs, preprint, arXiv:2408.09955, 2024. https://doi.org/10.48550/arXiv.2408.09955
- W. Chen, Y. Su, J. Zuo, C. Yang, AgentVerse: Facilitating Multi‑Agent Collaboration and Exploring Emergent Behaviors in Agents, preprint, arXiv:2308.10848, 2023. https://doi.org/10.48550/arXiv.2308.10848
- Z. Wang, S. Moriyama, W.-Y. Wang, B. Gangopadhyay, S. Takamatsu, Talk Structurally, Act Hierarchically: A Collaborative Framework for LLM Multi‑Agent Systems, preprint, arXiv:2502.11098v1, 2025. https://doi.org/10.48550/arXiv.2502.11098
- J. Cai, J. Li, M. Zhang, M. Li, C.-S. Wang, K. Tei, Language Evolution for Evading Social Media Regulation via LLM-based Multi-agent Simulation, IEEE Congress on Evolutionary Computation (CEC), 1–10, 2024..