Unverified50% confidenceFactExact time
LLM的分词器（如BPE）为自然语言设计，会将数值拆解为多个不相关的token，破坏数字的连续性和大小语义
1
Sources
50%
Confidence
Long-term
Relevance
8/5/2026
First Seen
Sources
Related Claims
VerifiedModern LLMs generally use BPE (Byte Pair Encoding) or WordPiece algorithms for tokenization.76% similarUnverified大多数主流分词器（BPE、WordPiece）将数字按字符级别分割，导致数字的位值结构在输入阶段就已被破坏75% similarUnverified现代 LLM 通常使用字节对编码（BPE）或类似算法进行分词，英文中平均约 4 个字符对应 1 个 Token72% similarVerifiedBPE的核心思路是从字符级别出发，反复合并出现频率最高的相邻字符对，直到词汇表达到预设大小69% similarUnverifiedIn the LLM+solver hybrid architecture, the LLM acts as a translation layer between natural language and formal systems, while specialized tools handle actual execution, thereby avoiding the risk of numerical hallucinations.67% similar
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