%0 Conference Proceedings
%T Unlocking the Potential of Model Merging for Low-Resource Languages
%A Tao, Mingxu
%A Zhang, Chen
%A Huang, Quzhe
%A Ma, Tianyao
%A Huang, Songfang
%A Zhao, Dongyan
%A Feng, Yansong
%Y Al-Onaizan, Yaser
%Y Bansal, Mohit
%Y Chen, Yun-Nung
%S Findings of the Association for Computational Linguistics: EMNLP 2024
%D 2024
%8 November
%I Association for Computational Linguistics
%C Miami, Florida, USA
%F tao-etal-2024-unlocking
%R 10.18653/v1/2024.findings-emnlp.508
%U https://aclanthology.org/2024.findings-emnlp.508/
%U https://doi.org/10.18653/v1/2024.findings-emnlp.508
%P 8705-8720