5 citations · 9 across the 5 of their papers we have counts for
5 papers
QA-Calibration of Language Model Confidence Scores
Putra Manggala, Atalanti Mastakouri, Elke Kirschbaum +2
To use generative question-and-answering (QA) systems for decision-making and in any critical application, these systems need to provide well-calibrated confidence scores that refl…
Learning to Defer to a Population: A Meta-Learning Approach
Dharmesh Tailor, Aditya Patra, Rajeev Verma +2
The learning to defer (L2D) framework allows autonomous systems to be safe and robust by allocating difficult decisions to a human expert. All existing work on L2D assumes that eac…
Interactive Grounded Language Understanding in a Collaborative Environment: IGLU 2021
Julia Kiseleva, Ziming Li, Mohammad Aliannejadi +18
Human intelligence has the remarkable ability to quickly adapt to new tasks and environments. Starting from a very young age, humans acquire new skills and learn how to solve new t…
Using Image Fairness Representations in Diversity-Based Re-ranking for Recommendations
Chen Karako, Putra Manggala
The trade-off between relevance and fairness in personalized recommendations has been explored in recent works, with the goal of minimizing learned discrimination towards certain d…
Aesthetic Features for Personalized Photo Recommendation
Yu Qing Zhou, Ga Wu, Scott Sanner +1
Many photography websites such as Flickr, 500px, Unsplash, and Adobe Behance are used by amateur and professional photography enthusiasts. Unlike content-based image search, such u…