无需真实标签，通过配对轨迹审计实现技能演化，为智能体能力进化提供新范式
arXiv:2606.14239v1 Announce Type: new Abstract: Agent skills are structured procedural packages that guide frozen LLM agents in specialized workflows.…
贝叶斯后验引导技能演化，让LLM Agent在不调整权重下高效适配外部推理条件，开辟Agent自适应新路径。
arXiv:2606.08348v1 Announce Type: new Abstract: LLM agents increasingly rely on external inference conditions: prompts, tools, memory, SOPs, skills, a…
前沿AI Agent论文，提出知识感知与任务对齐的技能演化框架，让智能体动态进化能力。
arXiv:2506.23149v2 Announce Type: replace Abstract: Reusable skills play a key role in improving LLM-based agents, but existing skill-evolution method…
一篇关于Agent技能全生命周期治理的论文，涵盖收集、推荐到演化，提出了SkillsVote框架。
arXiv:2605.18401v1 Announce Type: new Abstract: Long-horizon LLM agents leave traces that could become reusable experience, but raw trajectories are n…