Multi-agent debate often wastes compute by using a fixed adversarial stance, aggregating without deliberation, or stopping on heuristics. We introduce MACI, an active controller with two independent dials that decouple information from behavior: an information dial that gates evidence by quality, and a behavior dial that schedules contentiousness from exploration to consolidation. A moderator tracks disagreement, overlap, evidence quality, and argument quality, and halts when gains plateau. We provide theory-lite guarantees for nonincreasing dispersion and provable termination, with a budget-feasible scheduler. Across clinical diagnosis and news-bias tasks, MACI improves accuracy and calibration while reducing tokens, and converts residual uncertainty into precision RAG plans that specify what to retrieve next. We use a cross-family LLM judge (CRIT) as a conservative soft weight and stop signal, validated for order invariance and judge-swap stability; stability depends on using high-capability judges. MACI turns debate into a budget-aware, measurable, and provably terminating controller.
Illusion of Alignment: Detecting Hidden Disagreement in Collaborative Dialogue
College of AI, Tsinghua University（清华大学人工智能学院）；Institute for AI Industry Research (AIR), Tsinghua University（清华大学人工智能产业研究院）；Institute for AI, Tsinghua University（清华大学人工智能研究院）
AgentRec: Next-Generation LLM-Powered Multi-Agent Collaborative Recommendation with Adaptive Intelligence
Department of Software \& Microelectronics Peking University Beijing, China；Department of Software \& Microelectronics Peking University Beijing, China hangli\；Department of Software \& Microelectronics Peking University Beijing, China zehua\；Department of Software \& Microelectronics Peking University Beijing, China xiaofan\；Economic Law School China University of Political Science；School of Computer Science Peking University Beijing, China
METRO: Towards Strategy Induction from Expert Dialogue Transcripts for Non-collaborative Dialogues
National University of Singapore（新加坡国立大学）；Nankai University（南开大学）；Sichuan University（四川大学）；School of Artificial Intelligence, Beihang University（北航人工智能学院）；Beijing Advanced Innovation Center for Future Blockchain and Privacy Computing（北京未来区块链与隐私计算高级创新中心）；Key Laboratory of Mathematics, Informatics and Behavioral Semantics (LMIB)（数学、信息学与行为语义学重点实验室（LMIB））；Engineering Research Center of Machine Learning and Industry Intelligence, Ministry of Education, China（教育部机器学习与工业智能工程研究中心，中国）
METRO 通过大规模语言模型从原始 transcripts 自动诱导策略动作和规划逻辑，提出策略森林结构，实验显示其在两个基准上性能优越，具有跨任务迁移能力。
Collaborative Instance Object Navigation: Leveraging Uncertainty-Awareness to Minimize Human-Agent Dialogues
Polytechnic of Turin（都灵理工大学）；University of Verona（维罗纳大学）；ENSTA Paris（巴黎国立高等先进技术学校）；Institut Polytechnique de Paris（巴黎综合理工学院）；Fondazione Bruno Kessler（布鲁诺·凯塞勒基金会）
An Artificial Intelligence driven Learning Analytics Method to Examine the Collaborative Problem solving Process from a Complex Adaptive Systems Perspective
College of Education, Zhejiang University（浙江大学教育学院）；UCL Knowledge Lab, University College London（伦敦大学学院UCL知识实验室）
A Hierarchical Framework for Collaborative Artificial Intelligence
Univ. Grenoble Alpes（格勒诺布尔阿尔卑斯大学）；Örebro University（厄勒布鲁大学）；Universitat Politècnica de Catalunya（加泰罗尼亚理工大学）；Sapienza University of Rome（罗马第一大学）；University of Leeds（利兹大学）
Collaborative Artificial Intelligence Needs Stronger Assurances Driven by Risks
University of Innsbruck（因斯布鲁克大学）；Free University of Bozen-Bolzano（博尔扎诺自由大学）；Blekinge Institute of Technology（布莱金厄理工学院）；Fraunhofer Italia Research（弗劳恩霍夫意大利研究院）；Fondazione Bruno Kessler（布鲁诺·凯斯勒基金会）
"We'll have to see how it works": An interview study to understand collaborative practices in interdisciplinary artificial intelligence and healthcare research
William Harvey Research Institute（威廉·哈维研究所）；Queen Mary University of London（伦敦玛丽女王大学）；Wolfson Institute of Population Health（沃尔夫森人口健康研究所）
A Survey on Cloud-Edge-Terminal Collaborative Intelligence in AIoT Networks
School of Artificial Intelligence, China University of Mining and Technology (Beijing)（人工智能学院，中国矿业大学（北京））；Department of Electrical and Computer Engineering, University of British Columbia（电气与计算机工程系，不列颠哥伦比亚大学）；Division of Natural and Applied Sciences, Duke Kunshan University（自然科学与应用科学学院，杜克大学昆山分校）；Department of Electrical and Computer Engineering, The University of British Columbia（电气与计算机工程系，不列颠哥伦比亚大学）；School of Information Science and Technology, Fudan University（信息科学与技术学院，复旦大学）；Department of Computer Science, The University of Toronto（计算机科学系，多伦多大学）；School of Computer Science and Technology, China University of Mining and Technology（计算机科学与技术学院，中国矿业大学）；Department of Systems and Computer Engineering, Carleton University（系统与计算机工程系，卡尔顿大学）；Artificial Intelligence Research Institute, Shenzhen MSU-BIT University（人工智能研究院，深圳MSU-BIT大学）；College of Computer Science and Software Engineering（计算机科学与软件工程学院）
