基于智能体系统，为乳腺癌治疗提供个性化推荐，前沿AI医疗研究。
arXiv:2607.12051v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly being explored for clinical decision support, but their …
这篇arXiv论文提出面向Agentic LLM系统的共享选择性持久记忆机制，解决多智能体协作中的记忆共享与选择性持久化问题，是AI大模型研究前沿。
arXiv:2607.09493v1 Announce Type: new Abstract: Agentic LLM systems that generate code through multi-turn tool use face a fundamental context problem:…
LLM多智能体系统实现自主量子编程，QAgent能编写OpenQASM代码，探索AI与量子计算的融合。
arXiv:2508.20134v2 Announce Type: replace Abstract: Programming quantum circuits at the OpenQASM level is essential for achieving hardware-aware optim…
COLM 2026论文提出一种针对LLM多智能体系统的故障定位方法，帮助开发者快速找出哪个智能体“搞砸了”协作流程。
arXiv:2607.07989v1 Announce Type: cross Abstract: Large language model (LLM) based multi-agent systems enable complex problem solving through coordina…
基于LLM的多智能体系统用于信用评估，探索大模型在金融风控中的创新应用。
arXiv:2507.22758v2 Announce Type: replace-cross Abstract: Recent advancements in financial problem-solving have leveraged LLMs and agent-based systems…
揭秘大模型“拒绝”背后的护栏激活机制：如何通过行为监控精准判断模型何时触发安全防线？
arXiv:2607.02121v1 Announce Type: cross Abstract: As Large Language Models (LLMs) and agentic systems become integrated into real-world applications, …
协作式智能体AI需跨生态互操作性，ICML论文指出标准化与开放协议是实现协同的关键。
arXiv:2505.21550v2 Announce Type: replace-cross Abstract: Collaborative agentic AI is projected to transform entire industries by enabling AI-powered …
VLDB 2026 Demo论文，提出端到端数据分析智能体系统DA-Studio，打通数据获取到洞察全流程。
arXiv:2606.31423v1 Announce Type: cross Abstract: Real-world data analysis is a multi-step process over heterogeneous inputs rather than merely produc…
利用开源大模型构建多智能体协同系统，精准识别并对抗虚假信息威胁。
arXiv:2606.30259v1 Announce Type: new Abstract: In contemporary societies, the threat of disinformation has reached alarming levels, exacerbated by th…
系统介绍自动化协商的基础理论、关键算法与应用场景，AI研究者入门必读
arXiv:2511.08659v4 Announce Type: replace-cross Abstract: This book is an introductory textbook targeted towards computer science students who are com…
多智能体LLM如何高效协调？本文提出受治理的共享内存机制，为解决Agent间信息共享与一致性难题提供新方案。
arXiv:2606.24535v1 Announce Type: new Abstract: Multi-agent LLM environments require robust mechanisms for shared knowledge management. This paper for…
提出ReM-MoA机制，用推理记忆解决混合代理规模化难题，提升多智能体协作效率。
arXiv:2606.24437v1 Announce Type: new Abstract: Mixture-of-Agents (MoA) architectures improve inference-time scaling by organizing multiple LLM agents…
动态评估智能体AI系统安全性的创新基准RIFT-Bench，通过自动化攻击测试揭示大模型潜在风险。
arXiv:2606.23927v1 Announce Type: new Abstract: Agentic AI systems powered by large language models (LLMs) are rapidly evolving into autonomous decisi…
多智能体LLM系统提示何时优化才有效？这篇论文用系统性实验给出了答案，值得AI从业者关注。
arXiv:2606.23664v1 Announce Type: new Abstract: Multi-agent systems (MAS) offer a scalable path forward for agentic AI, comprising multiple LLM-based …
创新提出耦合增益γ测量LLM智能体社会涌现共识，破解模型伪动态与真正社会行为的辨别难题。
arXiv:2606.22203v1 Announce Type: cross Abstract: LLM "agent societies" are studied via demonstrations of emergent consensus or polarization -- with n…
新协议揭穿多智能体LLM协调增益的虚假繁荣，用配对噪声底线方法精准衡量真实协同效应。
arXiv:2606.20695v1 Announce Type: cross Abstract: Multi-agent LLM coordination papers report small benchmark deltas as evidence that one architecture …
揭示嵌入防御在LLM多代理系统中的根本性失效，提出安全范式新思考
arXiv:2605.01133v2 Announce Type: replace-cross Abstract: Large language model (LLM)-powered multi-agent systems (MAS) enable agents to communicate an…
大型语言模型如何在无沟通的多智能体环境中达成隐性协调？这篇论文探索了焦点效应的关键作用。
arXiv:2601.22184v2 Announce Type: replace-cross Abstract: Large Language Models (LLMs) are increasingly deployed in multi-agent settings that require …
多智能体系统结合大语言模型，实现加密货币投资组合全自动管理，前沿研究论文剖析。
arXiv:2501.00826v3 Announce Type: replace-cross Abstract: Cryptocurrency portfolio management requires the fusion of heterogeneous multi-modal signals…
为多智能体系统治理提供新视角，通过合作游戏实验定义AI代理间信任的量化标准。
arXiv:2606.14923v1 Announce Type: new Abstract: As language-model agents increasingly work in teams, each agent must decide how much to trust its team…