research
∙
07/28/2023
Uncertainty in Natural Language Generation: From Theory to Applications
Recent advances of powerful Language Models have allowed Natural Languag...
share
research
∙
06/09/2023
Conformalizing Machine Translation Evaluation
Several uncertainty estimation methods have been recently proposed for m...
research
∙
05/30/2023
BLEU Meets COMET: Combining Lexical and Neural Metrics Towards Robust Machine Translation Evaluation
Although neural-based machine translation evaluation metrics, such as CO...
research
∙
05/26/2023
Counterfactuals of Counterfactuals: a back-translation-inspired approach to analyse counterfactual editors
In the wake of responsible AI, interpretability methods, which attempt t...
research
∙
09/13/2022
CometKiwi: IST-Unbabel 2022 Submission for the Quality Estimation Shared Task
We present the joint contribution of IST and Unbabel to the WMT 2022 Sha...
research
∙
04/13/2022
Better Uncertainty Quantification for Machine Translation Evaluation
Neural-based machine translation (MT) evaluation metrics are progressing...
research
∙
04/01/2022
Learning Disentangled Representations of Negation and Uncertainty
Negation and uncertainty modeling are long-standing tasks in natural lan...
research
∙
09/13/2021
