This page shows the most relevant public items for Multi-Agent Systems, ranked by trend activity and review signal. Use weekly for fast changes, monthly for more stable patterns, and all-time for evergreen picks.
Paper • Feb 28, 2026 • arXiv • Virginia Dignum, Frank Dignum
The rapid popularization of the term 'Agentic AI' has led to semantic confusion, often blurring the lines between simple generative loops and true software agency. This position paper critically ex...
Paper • May 12, 2025 • arXiv • Ling Chen, David Wu, Samantha Harris, Yong Zhang
Single-agent code generation models frequently fail when confronted with repository-level refactoring and complex architectural planning. We propose SwarmCoder, an Agentic AI framework that deploys...
Paper • Aug 8, 2025 • arXiv • Jian Lu, Percy Liang, Chelsea Finn
While scaling laws for single-model LLMs are well established, the relationship between the number of collaborating agents and overall system performance remains poorly understood. This paper inves...
Paper • Mar 18, 2026 • arXiv • VoltAgent Research Team
Agyn is a proposed multi-agent system designed for autonomous software engineering that assigns specialized roles like coordinator, researcher, and reviewer to different agents. The paper explores ...
Paper • Mar 11, 2026 • USC Viterbi • Luca Luceri, Emilio Ferrara
This study explores how networked LLM agents can autonomously coordinate complex information operations without explicit human direction. By modeling agents as strategic actors in a social network,...
Paper • Mar 11, 2026 • arXiv • Juhee Kim, Xiaoyuan Liu, Zhun Wang, Shi Qiu, Bo Li, Wenbo Guo, Dawn Song
This comprehensive survey analyzes the emerging security landscape surrounding agentic AI systems capable of autonomous reasoning, tool usage, and multi-step decision-making. The authors categorize...
Paper • Feb 28, 2026 • arXiv • Rui Li, Zeyu Zhang, Xiaohe Bo, Quanyu Dai, Chaozhuo Li, Feng Wen, Xu Chen
Scaling multi-agent swarms using static, centralized orchestrators frequently leads to communication bottlenecks and single points of failure. This paper approaches agentic coordination through the...
Paper • Mar 2, 2026 • arXiv • Anonymous
Extracting structured event arguments from massive, unstructured document repositories is highly error-prone using single-pass LLMs. This paper proposes a collaborative multi-agent architecture fea...
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