EXECUTE: A Multilingual Benchmark for LLM Token Understanding

Fuente: arXiv
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Hauptverfasser: Edman, Lukas, Schmid, Helmut, Fraser, Alexander
Format: Preprint
Veröffentlicht: 2025
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author Edman, Lukas
Schmid, Helmut
Fraser, Alexander
author_facet Edman, Lukas
Schmid, Helmut
Fraser, Alexander
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2505_17784
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle EXECUTE: A Multilingual Benchmark for LLM Token Understanding
Edman, Lukas
Schmid, Helmut
Fraser, Alexander
Computation and Language
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.
title EXECUTE: A Multilingual Benchmark for LLM Token Understanding
topic Computation and Language
url https://arxiv.org/abs/2505.17784