Learning What to Keep: Transfer-Aware Personal Skill Learning from User Feedback
This work proposes SkillGrain, a framework for learning reusable personalized skills from user feedback that decomposes feedback into independently actionable rules, predicts their transferability, and retains only those suitable for future requests.
Li Wang, Chen Zhang, Yi-Rong Yang et al.
· 0 citations