Nice paper showing a better way to evolve agent skills.
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Nice paper showing a better way to evolve agent skills. And they achieve 40–70% less token cost compared to frontier evolving methods. The idea is to let agents improve their skill prompts by ranking candidates with a learned rubric instead of running a full rollout to score every revision. Rollout cost is the reason skill self-evolution usually only patches observed failures. Every candidate edit needs a real agent run to evaluate. SkillLift trains a rubric to agree with real outcomes on which of two skills is better, since ranking needs fewer oracle runs than predicting each score. An
Posted by DAIR.AI (132.7k followers) 21 h ago · 90 likes · 7.3k views · view the original post on X. Kept by the AI Radar as AI research. Tools mentioned: academy.dair.ai.
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