Byte-Based vs. Subword Tokenization in Zero-Shot Cross-Lingual Transfer on XTREME

Abstract

Abstract: This report synthesises findings from 11 peer-reviewed papers addressing the following research question: How does byte-based tokenization compare to subword tokenization in terms of zero-shot cross-lingual transfer accuracy on the XTREME benchmark when trained on varying corpus sizes. 6 claims were extracted from source literature; 6 were independently verified against retrieved documents. An automated multi-reviewer quality assessment produced a score of 8.5/10. This report is a machine-generated literature synthesis and does not constitute original research.

Research Question

How does byte-based tokenization compare to subword tokenization in terms of zero-shot cross-lingual transfer accuracy on the XTREME benchmark when trained on varying corpus sizes?

Verification Level

Descriptive public verification status only; aggregate claim counts are public, but individual claim records are not exposed here.

Quality Tier

Descriptive public triage only; this tier does not alter current publication or DOI behavior.

Quality Dimensions

Automated triage signals derived from public fields; not human peer review or independent validation.

Correction Record

Public corrections are additive records. Current status does not claim the synthesis is error-free.

Provenance