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cs.AI2026
Beyond Gain: Measuring Skill Internalization for Agent Skill Retirement
Yanze Wang, Pengfei Yao, Tianyi Sun +5
LLM agents retrieve skills from public hubs that hold up to about 100,000 entries and serve many models. As models improve, a hub must find the skills a given model has internalize…
cs.AI2026★ 2 cited
EvoAgentBench: Benchmarking Agent Self-Evolution via Ability Transfer
Xingze Gao, Chuanrui Hu, Hongda Chen +9
Agent self-evolution in long-horizon LLM systems is largely procedural: useful experience is not merely stored information, but reusable procedures for searching, debugging, and ve…