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标题为英语Verify Less, Evolve More: Training Idea-Level Critics for Verification-Efficient ML Evolving Agents
As large language models become more powerful, self-evolving agents are able to tackle challenging tasks including AI for machine learning (AI4ML). In AI4ML, while empirical verification is available, it often requires computationally costly model training and evaluation,…
arXiv — cs.AI作者: Jiamu Bai, Lizhu Zhang, Xin Yu, Yanhong Wu, Zellux Wang, Serena Li, Weiwei Li, Zhuokai Zhao, Lingzhou Xue, Kiwan Maeng, Xiangjun Fan, Bo Peng2026年10月8日 (10月8日)
提供 1 种语言版本AI 摘要：要点
- As large language models become more powerful, self-evolving agents are able to tackle challenging tasks including AI for machine learning (AI4ML)
- In AI4ML, while empirical verification is available, it often requires computationally costly model training and evaluation,…
Research
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Verify Less, Evolve More: Training Idea-Level Critics for Verification-Efficient ML Evolving Agents
标签：#arXiv
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