Evaluation of open and closed-source LLMs for low-resource language with zero-shot, few-shot, and chain-of-thought prompting

Evaluation of open and closed-source LLMs for low-resource language with zero-shot, few-shot, and chain-of-thought prompting

As the global deployment of Large Language Models (LLMs) increases, the demand for multilingual capabilities becomes more crucial. While many LLMs excel in real-time applications for high-resource languages, few are tailored specifically for low-resource languages. The limited availability of text c...

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Bibliographic Details
Main Authors: Zabir Al Nazi, Md. Rajib Hossain, Faisal Al Mamun
Format: Article
Language:English
Published: Elsevier 2025-03-01
Series:Natural Language Processing Journal
Subjects:
Large language models
Zero-shot
Few-shot
Chain-of-thought
GPT-4
Llama 3
Online Access:http://www.sciencedirect.com/science/article/pii/S2949719124000724
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