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ACL 2025aclfindings

EXECUTE: A Multilingual Benchmark for LLM Token Understanding

Lukas Edman, Helmut Schmid, Alexander Fraser

Technische Universität München · Center for Information and Language Processing · Technical University of Munich

PDF 由论文原始站点提供,PaperCompass 不保存论文文件。DOI 10.18653/v1/2025.findings-acl.95 ↗

摘要

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.