Discovering Efficient and Explainable Communication Topologies for LLM-based Multi-Agent Systems via Causal Inference
Junzhi Li, Peng He, Qirui Ji, Wei Wang, Lixiang Liu, Chuxiong Sun
https://t.co/bHX0g9U89K [𝚌𝚜.𝙼𝙰 𝚌𝚜.𝙰𝙸]
💬Submitted to AAAI 2027
Do LLMs Beat Nash? Testing Decentralized Coordination in Self-Play Multi-Agent Games
Deborah Sinishaw, Qile Zhu, Edwin Meriaux, Gregory Dudek
https://t.co/58NSlyPBTb [𝚌𝚜.𝙼𝙰 𝚌𝚜.𝚁𝙾]
💬Submitted to the 2026 IEEE MIT Undergraduate Research Technology Conference (URTC)
Who Are You Explaining To? A Multi-Agent System for Audience-Aware XAI Narratives
Francesco Musicco, Danilo Danese, Giuseppe Fasano, Angela Lombardi, Alberto Carlo Maria Mancino, Tommaso Di Noia
https://t.co/JvW5jB1J7E [𝚌𝚜.𝙼𝙰]
Reifying Research Logic: AI-Assisted Workflow Construction and Incremental Refinement for Quantitative Syntax
He Wang, Jingbo Chen, Yuqiao Lai, Nan Yang, Hanwen Zhang, Wei Yuan
https://t.co/43SA6UXzMX [𝚌𝚜.𝙼𝙰]
Not a Monolith: Lab-Level Divergence in the Cooperative Equilibria of Chinese Frontier LLM Agents
Francisco León Zúñiga Bolívar
https://t.co/nBKpTrQmeB [𝚌𝚜.𝙼𝙰]
💬Code: https://t.co/12v7EbjfkR
Distributed Team Orchestration via Supervisor Networks: Convergence, Optimality, and Resilience
Juntian Zhu, Guanpu Chen, Tongtian Zhu, Miguel de Carvalho, Zhouwang Yang, Fengxiang He
https://t.co/lJ32pBMQis [𝚌𝚜.𝙼𝙰]
MoRSE: Task-Oriented Multi-Agent System with Mixture of Role-Subtask Experts
Peiwen Li, Shiyang Zhang, Yangtian Zhang, Sizhuang He, David van Dijk, Rex Ying
https://t.co/3GF9y2Pq50 [𝚌𝚜.𝙼𝙰 𝚌𝚜.𝙰𝙸 𝚌𝚜.𝙲𝙻 𝚌𝚜.𝙻𝙶]
Beyond Tier Labels: Role- and Deployment-Dependent Model Substitution in Multi-Call LLM Workflows
Renxiang Wang, Jiaming Cui
https://t.co/dyxIVldVZ8 [𝚌𝚜.𝙼𝙰]
Per-Shipment Multi-Agent Reinforcement Learning for Intermodal Freight Routing Under Hurricane Disruption
Aliza Sharmin, Xudong Wang, Mustafa Can Camur, Xueping Li
https://t.co/0DfPk9UbFf [𝚌𝚜.𝙼𝙰]