Megaagent: A practical framework for autonomous cooperation in large-scale llm agent systems

Q Wang, T Wang, Q Li, J Liang, B He - arxiv preprint arxiv:2408.09955, 2024 - arxiv.org
With the emergence of large language models (LLMs), LLM-powered multi-agent systems
(LLM-MA systems) have been proposed to tackle real-world tasks. However, their agents …

From Individual to Society: A Survey on Social Simulation Driven by Large Language Model-based Agents

X Mou, X Ding, Q He, L Wang, J Liang, X Zhang… - arxiv preprint arxiv …, 2024 - arxiv.org
Traditional sociological research often relies on human participation, which, though
effective, is expensive, challenging to scale, and with ethical concerns. Recent …

A Survey on Multi-Generative Agent System: Recent Advances and New Frontiers

S Chen, Y Liu, W Han, W Zhang, T Liu - arxiv preprint arxiv:2412.17481, 2024 - arxiv.org
Multi-generative agent systems (MGASs) have become a research hotspot since the rise of
large language models (LLMs). However, with the continuous influx of new related works …

Dynamic and Textual Graph Generation Via Large-Scale LLM-based Agent Simulation

J Ji, R Lei, J Bi, Z Wei, Y Lin, X Pan, Y Li… - arxiv preprint arxiv …, 2024 - arxiv.org
Graph generation is a fundamental task that has been extensively studied in social,
technological, and scientific analysis. For modeling the dynamic graph evolution process …

Harnessing Multi-Agent LLMs for Complex Engineering Problem-Solving: A Framework for Senior Design Projects

A Mushtaq, MR Naeem, I Ghaznavi, MI Taj… - arxiv preprint arxiv …, 2025 - arxiv.org
Multi-Agent Large Language Models (LLMs) are gaining significant attention for their ability
to harness collective intelligence in complex problem-solving, decision-making, and …