PEAR: Pairwise Evaluation for Automatic Relative Scoring in Machine Translation 事件

PEAR: Pairwise Evaluation for Automatic Relative Scoring in Machine Translation arXiv:2601.18006v2 Announce Type: replace Abstract: We present PEAR (Pairwise Evaluation for Automatic Relative Scoring), a supervised quality estimation (QE) metric family that reframes reference-free machine translation (MT) evaluation as a graded pairwise comparison. Given a source segment and two candidate translations, PEAR predicts the direction and magnitude of their quality difference. The metrics are traine