arXiv Open Access 2024

Large Language Models Lack Understanding of Character Composition of Words

Andrew Shin Kunitake Kaneko

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Abstrak

Large language models (LLMs) have demonstrated remarkable performances on a wide range of natural language tasks. Yet, LLMs' successes have been largely restricted to tasks concerning words, sentences, or documents, and it remains questionable how much they understand the minimal units of text, namely characters. In this paper, we examine contemporary LLMs regarding their ability to understand character composition of words, and show that most of them fail to reliably carry out even the simple tasks that can be handled by humans with perfection. We analyze their behaviors with comparison to token level performances, and discuss the potential directions for future research.

Topik & Kata Kunci

cs.CL

Penulis (2)

Andrew Shin

Kunitake Kaneko

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APA MLA BibTeX

Shin, A., Kaneko, K. (2024). Large Language Models Lack Understanding of Character Composition of Words. https://arxiv.org/abs/2405.11357

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Informasi Jurnal

Tahun Terbit: 2024
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓