Recent breakthroughs in large language model-driven autonomous agents have revealed that multi-agent collaboration often surpasses each individual through collective reasoning. Inspired by the neural scaling law--increasing neurons enhances performance, this study explores whether the continuous addition of collaborative agents can yield similar benefits. Technically, we utilize directed acyclic graphs to organize agents into a multi-agent collaboration network (MacNet), upon which their interactive reasoning is topologically orchestrated for autonomous task solving. Extensive evaluations reveal that it effectively supports collaboration among over a thousand agents, with irregular topologies outperforming regular ones. We also identify a collaborative scaling law--the overall performance follows a logistic growth pattern as agents scale, with collaborative emergence occurring earlier than traditional neural emergence. We speculate this may be because scaling agents catalyzes their multidimensional considerations during interactive reflection and refinement, thereby producing more comprehensive artifacts. The code is available at https://github.com/OpenBMB/ChatDev/tree/macnet.
Cross-Task Experiential Learning on LLM-based Multi-Agent Collaboration
Peking University（北京大学）；Shanghai Jiao Tong University（上海交通大学）；Tsinghua University（清华大学）；Beijing University of Posts and Telecommunications（北京邮电大学）；Siemens（西门子）；Tencent Robotics X（腾讯机器人实验室）
Multi-Agent Collaboration via Evolving Orchestration
Tsinghua University（清华大学）；Shanghai Jiao Tong University（上海交通大学）；Beijing University of Posts and Telecommunications（北京邮电大学）；Siemens（西门子）；Tencent Robotics X（腾讯机器人研究院）
A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration
Tsinghua University（清华大学）；Georgia Institute of Technology（佐治亚理工学院）；Institute for AI Industry Research (AIR), Tsinghua University（清华大学人工智能国际研究院）；Jiangsu Collaborative Innovation Center for Language Competence（江苏省语言能力协同创新中心）；Stanford University（斯坦福大学）
Empowering Edge Agents: A Systematic Analysis of Edge-Cloud Collaboration in LLM Agent Execution
School of Computer Science and Engineering, Northeastern University（东北大学计算机科学与工程学院）；Department of Computer Science and Technology, Tsinghua University（清华大学计算机科学与技术系）；China Mobile Online Services Co., Ltd.（中移在线服务有限公司）
Large Language Model-based Human-Agent Collaboration for Complex Task Solving
Gaoling School of Artificial Intelligence, Renmin University of China（中国人民大学高瓴人工智能学院）；Department of Computer Science and Technology, Tsinghua University（清华大学计算机科学与技术系）
Embracing Trustworthy Brain-Agent Collaboration as Paradigm Extension for Intelligent Assistive Technologies
University of Illinois Chicago（伊利诺伊大学芝加哥分校）；MBZUAI（马克斯·普朗克人工智能研究所）；McGill University（麦吉尔大学）；The Chinese University of Hong Kong（香港中文大学）；Nanyang Technological University（南洋理工大学）；Tsinghua University（清华大学）
LatCom: Cross-Agent Latent Compression for Efficient Multi-Agent Collaboration
University of Science and Technology of China（中国科学技术大学）；Institute of Artificial Intelligence, Hefei Comprehensive National Science Center（合肥综合性国家科学中心人工智能研究院）
LLM-Based Agent Society Investigation: Collaboration and Confrontation in Avalon Gameplay
Singapore Management University（新加坡管理大学）；Verily Life Sciences（维里生命科学公司）；Tencent（腾讯）；The Hong Kong University of Science and Technology (Guangzhou)（香港科技大学（广州））；The Hong Kong University of Science and Technology（香港科技大学）；Singapore University of Technology and Design（新加坡科技设计大学）
Cochain: Balancing Insufficient and Excessive Collaboration in LLM Agent Workflows
School of Artificial Intelligence, Jilin University（吉林大学人工智能学院）；Department of Computer Science and Engineering, Southern University of Science and Technology（南方科技大学计算机科学与工程系）；School of Urban Planning and Design, Peking University（北京大学城市规划与设计学院）
LLM-Based Human-Agent Collaboration and Interaction Systems: A Survey
University of Illinois Chicago（伊利诺伊大学芝加哥分校）；University of Tokyo（东京大学）；Tsinghua University（清华大学）；MBZUAI；McGill University（麦吉尔大学）；University of California Irvine（加州大学 Irvine 分校）
A Knowledge-driven Adaptive Collaboration of LLMs for Enhancing Medical Decision-making
Mohamed bin Zayed University of Artificial Intelligence (MBZUAI)（莫扎德·本·扎耶德人工智能大学）；University of Electronic Science and Technology of China（电子科学与技术大学）；Swiss Federal Institute of Technology Lausanne (EPFL)（苏黎世联邦理工学院）
Mohamed bin Zayed University of Artificial Intelligence（穆罕默德·本·扎耶德人工智能大学）；University of Technology Sydney（悉尼科技大学）；Northeastern University（东北大学）；University of Liverpool（利物浦大学）
Humans' ALMANAC: A Human Collaboration Dataset of Action-Level Mental Model Annotations for Agent Collaboration
Northeastern University（东北大学）；University of Notre Dame（Notre Dame 大学）；University of Waterloo（滑铁卢大学）；Carnegie Mellon University（卡内基梅隆大学）；Adobe（Adobe公司）；Microsoft Research Asia（微软亚洲研究院）
