多智能体
18 篇 · 资讯流HakiCC: LLM-Driven Multi-Agent Design and Optimization of Concurrency Control Protocols
Large language models (LLMs) have recently been applied in systems research as a tool to reduce human-intensive engineer
原文 ↗Self-Adapting Group of Experts for Multi-Agent Reasoning
Multi-agent systems bring together language model agents with different roles to propose, review, and refine solutions.
原文 ↗DataMagic: Authoring Data Videos through Declarative Multi-Agent Orchestration
Data videos communicate data insights through dynamic charts, voice narration, and synchronized animations, and have bec
原文 ↗GRASP: Generating, Revising, and Assessing for Strategic Planning with Agentic AI
Large Language Models (LLMs) typically exhibit a performance profile where reliability degrades as task complexity incre
原文 ↗Distributed Stochastic Approximation Algorithms and Heavy-Tailed Age of Information
Algorithms in multi-agent systems such as federated learning, mobile robotic swarming, and consensus control can be desi
原文 ↗Behavior is Not Enough: A Mechanism-Based Evaluation of Social Norm Emergence in LLM Societies
Social norms cannot be identified from behavior alone: the same cooperative equilibrium may reflect shared expectations,
原文 ↗Beyond Single-Model Injection: A Threat Model and Defense Architecture for Prompt Injection in Multi-Agent Systems
Existing prompt injection research focuses on single-model chatbot scenarios, where an attacker manipulates one LLM thro
原文 ↗Riemannian Density-Driven Optimal Control: Tangent-Space LQR for Second-Order Multi-Agent Systems on Curved Manifolds
Density-Driven Optimal Control (D2OC) provides an effective framework for steering multi-agent systems toward prescribed
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