Search Results for author:
Found 2 papers, 1 papers with code
Modeling User Preferences with Automatic Metrics: Creating a High-Quality Preference Dataset for Machine Translation
Alignment with human preferences is an important step in developing accurate and safe large language models.
Learning to compute inner consensus: A novel approach to modeling agreement between Capsules
This project considers Capsule Networks, a recently introduced machine learning model that has shown promising results regarding generalization and preservation of spatial information with few parameters.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
