Dynamic Meta-Metrics: Source-Sentence Conditioned Weighting for MT Evaluation 事件

Dynamic Meta-Metrics: Source-Sentence Conditioned Weighting for MT Evaluation arXiv:2605.09098v2 Announce Type: replace Abstract: We propose Dynamic Meta-Metrics (DMM), a framework for machine translation evaluation that learns source-sentence conditioned combinations of existing metrics. Rather than relying on a single static ensemble or language-specific weighting, DMM adapts the metric combination based on properties of the source segment. We study hard conditioning, which fits an interpreta