arXiv cs.CL
· Papers
Penalizing Length: Uncovering Systematic Bias in Quality Estimation Metrics
arXiv:2510.22028v4 Announce Type: replace Abstract: Quality Estimation (QE) metrics are vital in machine translation for reference-free evaluation and increasingly serve as selection criteria in data filtering and candidate reranking. However, the prevalence and impact of length bias in QE metrics have been underexplor