NeurIPS 2025 "multi-agent systems" Papers

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AgentBreeder: Mitigating the AI Safety Risks of Multi-Agent Scaffolds via Self-Improvement

J Rosser, Jakob Foerster

NeurIPS 2025spotlightarXiv:2502.00757

Knowledge Starts with Practice: Knowledge-Aware Exercise Generative Recommendation with Adaptive Multi-Agent Cooperation

Yangtao Zhou, Hua Chu, chen et al.

NeurIPS 2025poster

KVCOMM: Online Cross-context KV-cache Communication for Efficient LLM-based Multi-agent Systems

Hancheng Ye, Zhengqi Gao, Mingyuan Ma et al.

NeurIPS 2025posterarXiv:2510.12872

Many LLMs Are More Utilitarian Than One

Anita Keshmirian, Razan Baltaji, Babak Hemmatian et al.

NeurIPS 2025oralarXiv:2507.00814

MetaMind: Modeling Human Social Thoughts with Metacognitive Multi-Agent Systems

Xuanming Zhang, Yuxuan Chen, Samuel (Min-Hsuan) Yeh et al.

NeurIPS 2025oralarXiv:2505.18943

Rainbow Delay Compensation: A Multi-Agent Reinforcement Learning Framework for Mitigating Observation Delays

Songchen Fu, Siang Chen, Shaojing Zhao et al.

NeurIPS 2025poster

Towards Principled Unsupervised Multi-Agent Reinforcement Learning

Riccardo Zamboni, Mirco Mutti, Marcello Restelli

NeurIPS 2025posterarXiv:2502.08365