Advancing Large Language Models for Low-Resource Languages: A Systematic Review of Pretraining, Adaptation, and Ethical Challenges
This systematic review examines recent progress in the pretraining and adaptation of LLMs for Low-Resource Languages (LRLs) and focuses on the ethics in AI practice, the development of corpora through communities, and interdisciplinary research collaboration among computational linguists, social scientists, and digital...