Don't Rank, Combine! Combining Machine Translation Hypotheses Using Quality Estimation

12 January 2024

Papers citing "Don't Rank, Combine! Combining Machine Translation Hypotheses Using Quality Estimation"

6 / 6 papers shown

Title
Chasing COMET: Leveraging Minimum Bayes Risk Decoding for Self-Improving Machine Translation Kamil Guttmann Miko Pokrywka Adrian Charkiewicz Artur Nowakowski 50 3 0 20 May 2024
Faster Minimum Bayes Risk Decoding with Confidence-based Pruning Julius Cheng Andreas Vlachos 39 21 0 25 Nov 2023
MBR and QE Finetuning: Training-time Distillation of the Best and Most Expensive Decoding Methods M. Finkelstein Subhajit Naskar Mehdi Mirzazadeh Apurva Shah Markus Freitag 45 26 0 19 Sep 2023
Embarrassingly Easy Document-Level MT Metrics: How to Convert Any Pretrained Metric Into a Document-Level Metric Giorgos Vernikos Brian Thompson Prashant Mathur Marcello Federico 34 40 0 27 Sep 2022
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 301 11,730 0 04 Mar 2022
Six Challenges for Neural Machine Translation Philipp Koehn Rebecca Knowles AAML AIMat 208 1,202 0 12 Jun 2017