arXiv 2609.38143 · cs.AI · 2026-09-29
Learning Meta-Skills for Agent Harness Design in Test-Time AI4AI
Cheng Qian, Kunlun Zhu, Beibin Li, Zhenhailong Wang, Heng Ji
Apodex
在最新榜 #158 本站收录于 2026-10-21
一句话要点
让“构建者”模型学习元技能，为固定的目标模型自动搭建更好的执行环境（测试时 AI4AI）。
Has a Builder model learn meta-skills to construct better harnesses for a fixed Target model at test time (AI-for-AI).
阅读 arXiv 原文 PDF Hugging Face 讨论 代码仓库
主题与学科
同主题：智能体
- Raven: The Harness of Harnesses for Composable Agentic Intelligence ▲748
- False Frontiers: Diagnosing and Mitigating Co-Cheating in Self-Evolving Search Agents ▲642
- BizAgentBench: Unveiling Hidden Challenges in Deploying Long-Horizon Agents for Real-World Business ▲490
- Omni-IO Skills: Harnessing Your Agent Omni-Native ▲485
- Player-1: Learning to Play from Synthetic Experience ▲348
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 2026-10-22。
要点由本站根据摘要自写，不转载摘要原文，请阅读原文。