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Pruned BPE 通过优化可见词汇表来提高分词效率

研究人员推出了一种新颖的方法 Pruned BPE,用于增强子词分词的 Byte Pair Encoding (BPE)。与将所有学习到的合并标记暴露给下游模型的标准 BPE 不同,Pruned BPE 会识别并将低曝光标记指定为仅内部合并节点。此方法将其词汇槽重新分配给更常用的标记,从而实现更高效的可见词汇表。实验表明,在英语和中文语料库上,Pruned BPE 与 Standard BPE 相比,始终能缩短编码长度,在不影响语言模型输入的情况下,显著提高了词汇效率。 AI

影响 提高了语言模型的分词效率,可能带来更好的性能和更低的计算成本。

排序理由 该集群包含一篇详细介绍新分词方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CL 阅读 →

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Pruned BPE 通过优化可见词汇表来提高分词效率

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该集群包含一篇详细介绍新分词方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CL TIER_1 English(EN) · Kenny Shao ·

    Pruned BPE:字节对编码的训练后可见性修剪和标记重分配

    arXiv:2608.00837v1 Announce Type: new Abstract: Byte Pair Encoding (BPE) is widely used for subword tokenization, but standard BPE exposes every learned merge token to the downstream model, including tokens that mainly serve as intermediate construction units and rarely appear in…