STAR : Sentence Translation Alignment Rate for Document-to-Document Machine Translation
This work proposes STAR-masked Preference Optimization (StarPO), a framework that ranks document-level hypotheses by structural quality and utilizes a dynamic alignment mask to focus optimization on misaligned segments and demonstrates that StarPO significantly enhances translation quality and structural integrity.