English(EN) Dynamic-Programming-Guided Hierarchical BPE and Empirical Analysis of Vocabulary Pruning

新的DH-BPE方法优化语言模型词汇表以实现更好的压缩

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-10 04:00

研究人员开发了一种名为动态规划引导分层BPE（DH-BPE）的新方法，用于优化语言模型的词汇表构建。该方法结合了标记暴露和BPE训练中的分层依赖关系，使用动态规划进行效用测量和剪枝，以选择固定大小的词汇表。DH-BPE在压缩方面持续优于标准BPE和其他基线，为在固定预算内优化词汇表分配提供了一种实用的方法。 AI

影响通过优化词汇表分配，提高语言模型的压缩效率。

排序理由该集群包含一篇详细介绍语言模型词汇表构建新方法的论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.LG 阅读 →

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arXiv cs.LG TIER_1 English(EN) · Kenny Shao · 2026-09-10 04:00

动态规划指导的层次化BPE与词汇剪枝的实证分析

arXiv:2609.06898v1 Announce Type: cross Abstract: Byte Pair Encoding (BPE) constructs vocabularies through greedy pair merging, but the resulting merge order does not necessarily allocate a fixed model-visible vocabulary optimally for compression. We propose Dynamic-Programming-G…

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动态规划指导的层次化BPE与词汇剪枝的实证分析

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