SkillLift: Learning Dense Rubrics from Sparse Oracles for Efficient Skill Evolution
DGX agentarXiv:2609.15396v1 Announce Type: new Abstract: LLM-based agents increasingly rely on persistent skills, i.e., reusable procedural prompts, to adapt without weight updates. Existing skill self-evoluti