English(EN) Greedy Byte-Pair Encoding Achieves at Least 0.361 of the Optimal Compression

字节对编码压缩界限提高到0.361

作者 PulseAugur 编辑部 · [1 个来源] · 2026-11-09 05:00

一篇新发表在arXiv上的论文详细介绍了数据压缩领域的一项理论进展，特别是关于字节对编码（BPE）。研究人员证明，BPE中使用的贪婪方法始终能达到最优压缩的至少0.361，优于之前确立的三分之一界限。这项工作还探讨了最优压缩的结构特性以及实现更好理论界限的挑战。 AI

影响数据压缩方面的这项理论进展有可能为大型语言模型带来更有效的标记化方法。

排序理由该集群包含一篇研究论文，详细介绍了数据压缩算法的理论改进。[lever_c_demoted from research: ic=1 ai=0.7]

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arXiv cs.CL TIER_1 English(EN) · Kundan Baliga, Aiden Xie, Aditya Byju · 2026-11-09 05:00

贪婪字节对编码至少达到最优压缩率的0.361

arXiv:2611.08671v1 Announce Type: cross Abstract: Byte-Pair Encoding (BPE) builds a tokeniser by repeatedly merging a most frequent adjacent pair of symbols; its utility is the total reduction in string length achieved by $k$ merges. It was known that this greedy rule achieves at…