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Tokenizer Tokens Tell Training Tales

Paper recorded by Signals 4 on 2026-10-29 in cs.CL. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-29 on arXiv · recorded by Signals 4 on 2026-10-30

Category: cs.CL · 自然语言处理 · first seen 2026-10-30

Abstract

Tokenizers are usually treated as fixed preprocessing tools, but they are trained on text and can retain traces of that text in their vocabularies. We ask whether a BPE tokenizer can reveal if a candidate dataset was part of its training corpus. The key observation is simple. Rare strings become tokens only when enough corpus frequency pushes them over the merge threshold. This suggests that membe

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#71 most recent of 628 cs.CL papers we have recorded · ↑ newer: Prompts and probabilities in the linguistic assessment of language mod · ↓ older: KV Cache Quantization for Diffusion Language Models
Cite this page: Tokenizer Tokens Tell Training Tales: the #71 most recent of 628 cs.CL papers we have recorded (as of 2026-10-29). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/tokenizer-tokens-tell-training-tales.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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