微软Aion系统曝光，Copilot深度整合桌面，Win11还新增“时光机”备份功能，AI重塑体验看点十足。
IT之家 8 月 25 日消息，科技媒体 Windows Latest 昨日（8 月 24 日）发布博文，从 BetaWiki Discord 频道挖掘出更多线索，指出微软 Project Aion 主要面向企业用户，定位为没有开始菜单的 AI 系统。 IT之家曾于今年 7 月报道，微软曾于 202…
多智能体协作中错误会级联放大，这项研究用传播感知量化不确定性，给LLM集群装上风险仪表盘。
arXiv:2608.22130v1 Announce Type: cross Abstract: LLM-based multi-agent systems (MAS) solve complex tasks through communication among role-specialized…
用代数方法为AI智能体执行构建可信策略，7图10表+5算法，形式化框架扎实，值得深挖。
arXiv:2608.16402v1 Announce Type: new Abstract: Large language model-based agentic frameworks primarily optimize capability: whether an agent can reas…
从语义不确定性切入，为层级多智能体协作提供全新编排思路，适合关注大模型Agent与系统优化的读者。
arXiv:2608.14707v1 Announce Type: new Abstract: As large language model (LLM)-based multi-agent systems become increasingly capable, coordinating agen…
多智能体协同视觉语言模型，革新PET医学影像去噪新路径
arXiv:2608.13791v1 Announce Type: cross Abstract: Positron emission tomography (PET) imaging suffers from limited spatial resolution and low signal-to…
用因果推断自动发现高效可解释的LLM多智能体通信拓扑，减少冗余交互、提升任务表现，值得关注。
arXiv:2608.12921v1 Announce Type: cross Abstract: The performance of large language model (LLM)-based multi-agent systems (MAS) largely depends on eff…
揭示LLM多智能体绕过文本离散瓶颈，用隐状态直接通信的训练-free对齐方案，前沿且实用。
arXiv:2608.13317v1 Announce Type: new Abstract: Large language model based multi-agent systems usually communicate in text, i.e., using discrete token…
一场模拟实验揭示LLM智能体在权力层级中如何策略性撒谎、奉承与反抗，AI社会行为比你想象的更复杂。
arXiv:2608.09574v1 Announce Type: new Abstract: LLMs are rapidly embedding themselves into daily life: drafting our emails, managing our schedules, an…
为LLM智能体构建自适应失败分类体系，系统提升多智能体场景的可靠性与调试效率。
Article URL: https://multi-agent-systems-failure-taxonomy.github.io/AdaMAST/blogs/adamast_paper/ Comments URL: https://news.ycombinator.com/item?id=49…
用图结构引导多个大语言模型智能体协同，解决城市数据密集型任务的新方案。
arXiv:2607.26724v1 Announce Type: new Abstract: Large language model (LLM) agents have been widely applied in automating data science tasks. However, …
从分布式多智能体到超级智能的路径，却揭示了开源系统高达87%的失败率。
Imagine a healthcare system made up of multiple AI agents: one that manages symptom assessment, another scheduling, a third insurance, and a fourth ph…
提出动态认知划分下的可解释信念协调方法，融合共识迭代与逻辑推理，解决多智能体信念组合难题
arXiv:2607.21210v1 Announce Type: cross Abstract: Existing approaches to multi-agent belief combination have established mature foundations for combin…
LLM引导多智能体系统，实现基因组规模代谢模型的自动化推理与解释
arXiv:2607.18249v1 Announce Type: cross Abstract: Constraint-based metabolic modeling is a powerful way to study the mechanistic basis of cellular sta…
大语言模型与智能体系统在智能电网中的完整教程，包含架构设计、实际应用与最新方案详解。
arXiv:2607.18147v1 Announce Type: cross Abstract: Large language models (LLMs) and agentic AI systems have evolved from natural language tasks to usin…
用LLM智能体模拟和审计联盟形成过程，打开多智能体协作研究新视角。
arXiv:2607.15095v1 Announce Type: new Abstract: The formation of political coalitions is a complex negotiation driven by both concrete policy objectiv…
揭示LLM Agent生态中"蠕虫式"攻击新威胁，安全防护刻不容缓
arXiv:2603.15727v3 Announce Type: replace-cross Abstract: Autonomous LLM-based agents increasingly operate as long-running processes forming densely i…
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…