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EXECUTE: A Multilingual Benchmark for LLM Token Understanding

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Alexander Fraser

Prof. Dr.

Principal Investigator

Abstract

The CUTE benchmark showed that LLMs struggle with character understanding in English. We extend it to more languages with diverse scripts and writing systems, introducing EXECUTE. Our simplified framework allows easy expansion to any language. Tests across multiple LLMs reveal that challenges in other languages are not always on the character level as in English. Some languages show word-level processing issues, some show no issues at all. We also examine sub-character tasks in Chinese, Japanese, and Korean to assess LLMs' understanding of character components.

inproceedings


Findings @ACL 2025

Findings at the 63rd Annual Meeting of the Association for Computational Linguistics. Vienna, Austria, Jul 27-Aug 01, 2025.
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A* Conference

Authors

L. Edman • H. Schmid • A. Fraser

Links

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Research Area

 B2 | Natural Language Processing

BibTeXKey: ESF25

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