Papers with machine translation reranking
Early-Exit and Instant Confidence Translation Quality Estimation (2026.eacl-long)
Copied to clipboard
| Challenge: | Quality estimation models are often opaque and computationally expensive, making them impractical to be part of large-scale pipelines. |
| Approach: | They propose an uncertainty-aware quality estimation model that matches previous approaches at a fraction of their costs. |
| Outcome: | The proposed method reduces evaluation costs by 50% and improves reranking performance. |