Samia Touileb

Using Gender- and Polarity-Informed Models to Investigate Bias

2021

In this work we explore the effect of incorporating demographic metadata in a text classifier trained on top of a pre-trained transformer language model. More specifically, we add information about the gender of critics and …

Learning Horn Envelopes via Queries from Large Language Models

2023 · arXiv (Cornell University)

We investigate an approach for extracting knowledge from trained neural networks based on Angluin's exact learning model with membership and equivalence queries to an oracle. In this approach, the oracle is a trained neural network. …

Incorporating Editorial Feedback in the Evaluation of News Recommender Systems

2024

Research in the recommender systems field typically applies a rather traditional evaluation methodology when assessing the quality of recommendations. This methodology heavily relies on incorporating different forms of user feedback (e.g., clicks) representing the specific …