Prompt engineering on large language models (LLMs) in low-resourced language setting
收藏DataCite Commons2025-10-13 更新2026-05-07 收录
下载链接:
https://researchdata.up.ac.za/articles/dataset/Prompt_engineering_on_large_language_models_LLMs_in_low-resourced_language_setting/30338983/2
下载链接
链接失效反馈官方服务:
资源简介:
The attached dataset has all the information in regard to Large Language Models (LLMs) being used in low-resource language settings. There are figures depicting the prompt structure used to improve translation of LLMs translation of low-resourced languages, more specifically, low-resourced, morphologically rich African languages. Furthermore, there are figures that depict the results of various experiments conducted in efforts to improve LLMs' translation of low-resourced languages, and there are clean evaluation datasets that can be used by other researchers to evaluate their LLMs in low-resourced language settings.
本附随数据集涵盖了大语言模型(Large Language Models, LLMs)在低资源语言场景下应用的全部相关信息。其中包含多幅示意图,用以展示用于优化大语言模型低资源语言翻译任务的提示词结构,具体针对低资源且形态学丰富的非洲语言。此外,本数据集还收录了多幅展示各类旨在优化大语言模型低资源语言翻译效果的实验结果的示意图;同时附带了经过清洗的评测数据集,可供其他研究者在低资源语言场景下评测其自研的大语言模型。
提供机构:
University of Pretoria
创建时间:
2025-10-13



