DavydenkoGr/AFTER
AFTER A Benchmark for Skill Evolution Frameworks Measuring whether agents can improve reusable skills, and whether those improvements transfer across roles, tasks, and execution contexts. π Abstract AFTER is a benchmark for studying skill evolution: the ability of an agentic framework to revise, specialize, and reuse skill instructions after observing task experience. Unlike task-only evaluation, AFTER separates the problem intoβ¦ See the full description on the dataset page: https://huggingface.co/datasets/DavydenkoGr/AFTER.
| Author / organization | DavydenkoGr |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 795 (as reported by Hugging Face) |
| Likes | 15 |
| Created | 19 June 2026 |
| Last updated at source | 30 June 2026 |
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