Search Results for author:
Found 4 papers, 0 papers with code
Large Language Model Augmented Exercise Retrieval for Personalized Language Learning
We study the problem of zero-shot exercise retrieval in the context of online language learning, to give learners the ability to explicitly request personalized exercises via natural language.
HandsOff: Labeled Dataset Generation With No Additional Human Annotations
Recent work leverages the expressive power of generative adversarial networks (GANs) to generate labeled synthetic datasets.
Active metric learning and classification using similarity queries
Motivated by this, we propose a novel unified query framework that can be applied to any problem in which a key component is learning a representation of the data that reflects similarity.
Simultaneous Preference and Metric Learning from Paired Comparisons
The underlying assumption in this model is that a smaller distance between $\mathbf{u}$ and an item $\mathbf{x_j}$ indicates a stronger preference for $\mathbf{x_j}$.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
