Jiaxin Zhu

Textual overlap rather than domain alignment: A comparative study of fine-tuning strategies for specialised machine translation with large language models

Findings indicate that textual overlap between training and deployment data, rather than broad domain similarity alone, strongly conditions the observed benefit of fine-tuning.