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 12, 2026 • arXiv • Nenad Tomašev, Kevin R. McKee, Jack Rae, Iason Gabriel, Vukosi Marivate, Milind Tambe, Demis Hassabis, Charles Blundell
As advanced AI agents evolve beyond query-response models, their utility is increasingly defined by how effectively they can decompose complex objectives and delegate sub-tasks. We propose an adapt...
Paper • Feb 16, 2026 • arXiv • Mingju Chen, Guibin Zhang, Heng Chang, Yuchen Guo
Traditional multi-agent systems often struggle with 'search breadth' in unstructured environments, leading to tunnel vision in reasoning. We propose A-MapReduce, a framework that applies the MapRed...
Paper • Feb 18, 2026 • arXiv • Jianhao Ruan, et al.
Language agents have shown strong promise for task automation, but realizing this promise for increasingly complex, long-horizon tasks has driven the rise of a sub-agent-as-tools paradigm. However,...