3 papers
cs.AI2026
SkillAlchemy: Open-World Agent Skill Creation
Hengjun Wang, Shuyue Wei, Boyi Liu +2
Agent skills are reusable procedural artifacts that extend language agents with specialized workflows, tool conventions, and domain behaviors at inference time. However, creating r…
cs.AI2026
SkillShapley: Boundary-Adaptive Shapley Valuation for Skill Step Attribution in LLM Agents
Chang Liu, Yuqi Zhang, Yiman Zhong +3
Agent skills are crucial external instructions that enable language agents to execute long procedural tasks such as coding or document processing. Existing agent skills are primari…
cs.AI2026
Different Feedback, Different Updates: Selective Self-Learning from User Interactions for Large Language Models
Xuanchen Li, Haitao Li, Yujia Zhou +5
User feedback offers natural supervision for persistent LLM improvement, but a single message may support multiple behavioral changes with different scopes of generalization. We in…