arXiv 2610.17860 · cs.AI · 2026-10-13
Socratic Skill Learning: Interleaving Teaching and Practice for Transferable Agent Skills
Letian Zhu, Han Li, Yifan Yao, Xinping Lei, Xinyu Che, Jiahao Wang, Dianyi Wang, Yucheng Fu 等 12 人
NJU-LINK Lab
在最新榜 #303 本站收录于 2026-10-24
一句话要点
南京大学 NJU-LINK 提出苏格拉底式技能学习：导师引导探索，学生智能体自己操作环境、写技能文件，可以质疑和测试建议；并构建 SkillTransferBench（35 个任务族、408 个可执行用例），在全新会话里检验技能能否迁移复用。
NJU-LINK's Socratic Skill Learning interleaves expert teaching with student practice — the student agent alone operates the environment and authors the Skill, questioning and testing advice — and introduces SkillTransferBench (35 task families, 408 executable cases) to test Skill reuse in fresh solver sessions.
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数据说明
元数据来自 arXiv API（已核实）；点赞来自 Hugging Face 每日论文；引用来自 Semantic Scholar。最近刷新 2026-10-26。
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