SkillEvo: Self-Renewing Evolution Gradients from Multi-Turn Interaction Feedback

  • 类型：arxiv
  • 标识：2608.13120
  • 链接：https://arxiv.org/abs/2608.13120
  • 主分类：agent
  • 形态：method
  • 被引：0
  • 被引来源：Semantic Scholar
  • S2被引：0
  • 影响力被引：0
  • TLDR：This work argues that the binding constraint on sustained skill evolution is neither editing capability nor the number of iterations, but whether the evaluation feedback keeps supplying trustworthy evolution gradients, and introduces SkillEvo, in which trustworthy feedback generates the gradient and controllable governance constrains its direction.
  • 待LLM分类：否
  • 标题中文：SkillEvo：从多轮交互反馈中自我更新的演化梯度
  • TLDR中文：本文指出，持续技能演化的关键瓶颈既非编辑能力亦非迭代轮数，而在于评估反馈能否持续提供可信的演化梯度；据此提出 SkillEvo，由可信反馈生成梯度，由可控治理约束方向。
  • 来源文件：
  • /inbox/tom/_candidates/2026-08-21-agent-rag-longcontext-candidates.json
  • [S2 enrich]