牛哥精选 · 一年

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🤖 AI·大模型 arXiv NLP 2026-06-12

SkillCAT: Contrastive Assessment and Topology-Aware Skill Self-Evolution for LLM Agents

对比评估与拓扑感知结合，让LLM智能体能自主进化技能库，复杂任务适应性显著提升。

arXiv:2606.13317v1 Announce Type: new Abstract: Skill self-evolution methods for LLM agents aim to turn execution trajectories into reusable skill doc…

llm agent 技能自我进化对比评估拓扑感知自适应学习

🤖 AI·大模型 arXiv 计算机视觉 2026-06-05

Topology-Aware Layer Pruning for Large Vision-Language Models

提出拓扑感知层剪枝方法，有效降低大视觉语言模型的计算与内存成本，助力高效部署。

arXiv:2604.16502v2 Announce Type: replace Abstract: Large Language Models (LLMs) have demonstrated strong capabilities in natural language understandi…

拓扑感知层剪枝大视觉语言模型计算优化多模态

📝 深度技术 arXiv AI 2026-05-19

TopoEvo: A Topology-Aware Self-Evolving Multi-Agent Framework for Root Cause Analysis in Microservices

拓扑感知多智能体框架自进化解决微服务根因分析，应对噪声、级联故障和拓扑漂移三大挑战

arXiv:2605.15611v1 Announce Type: new Abstract: Root cause analysis (RCA) in microservices is challenging due to (i) noisy and heterogeneous multimoda…

微服务根因分析拓扑感知多智能体自进化

📅 日期

2026-05-20 2026-05-19

🐂 牛哥精选

SkillCAT: Contrastive Assessment and Topology-Aware Skill Self-Evolution for LLM Agents

Topology-Aware Layer Pruning for Large Vision-Language Models

TopoEvo: A Topology-Aware Self-Evolving Multi-Agent Framework for Root Cause Analysis in Microservices

📅 日期