2025
ACL
ACL 2025
EXECUTE: A Multilingual Benchmark for LLM Token Understanding
Abstract
AbstractThe 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.
🌉
Interdisciplinary Bridge
— Artificial Intelligence and Machine Learning
🧭
Keyword Pioneer
— token understanding
🐝
Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Speech & Audio
Authors
Topics
Artificial Intelligence > Core AI > Foundation Models
Machine Learning > Optimization & Theory > Learning Theory
Natural Language Processing > Resources & Methods > Multilingual NLP
Artificial Intelligence > Core AI > Large Language Models
Natural Language Processing > Resources & Methods > Language Modeling
Machine Learning > Optimization & Theory > Evaluation
Machine Learning > Learning Types > Evaluation
Artificial Intelligence > Core AI > Language
Machine Learning > Core Methods > Evaluation
Artificial Intelligence > Core AI > Natural Language Processing
Deep Learning > Optimization & Theory > Evaluation