English(EN) The WoW: A Large-Scale World Knowledge Corpus for Full-Lifecycle LLM Training

新的WoW知识语料库增强大模型训练

作者 PulseAugur 编辑部 · [1 个来源] · 2026-11-11 05:00

研究人员推出了WoW，一个大规模的世界知识语料库，旨在增强基础模型全生命周期的训练。该数据集构建于教育知识图谱之上，确保了系统化组织和对各级教育模块的全面覆盖。与以往的数据集相比，WoW在系统性、质量和规模上都有所提升，并包含多模态信号以支持模型开发的每个阶段。实验表明，WoW显著提升了模型在各种基准测试上的性能，并提供了一个用于基于图谱的数据选择的交互式平台。 AI

影响这个新的语料库有望在各种教育领域培养出更强大、经过系统化训练的基础模型。

排序理由该集群包含一篇详细介绍用于大模型训练的新数据集的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.AI TIER_1 English(EN) · Tianze Sun (Harbin Institute of Technology), Yongyao Duan (OpenCSG), Sam Chen (OpenCSG) · 2026-11-11 05:00

The WoW：一个用于全生命周期大模型训练的大规模世界知识语料库

arXiv:2611.13487v1 Announce Type: new Abstract: Existing Chinese educational corpora often suffer from fragmented coverage and a lack of systematic organization. In this paper, we propose WoW (\textbf{Wo}rld Kno\textbf{w}ledge), a large-scale dataset designed for the full-cycle t…

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The WoW：一个用于全生命周期大模型训练的大规模世界知识语料库

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