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Language Models as Continuously Self-Evolving Data Engineers

💡 原文英文，约100词，阅读约需1分钟。
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内容提要

本研究探讨了大型语言模型（LLM）在缺乏高质量训练数据时的性能瓶颈。提出的新范式LANCE使LLM能够自主生成、清洗和标注数据，从而提升其表现并降低数据构建成本，推动超智能系统的发展。

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标签

LANCE engineers models 大型语言模型 性能提升 数据生成 超智能系统
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