no code implementations • 2 May 2024 • Rickard Stureborg, Dimitris Alikaniotis, Yoshi Suhara
The zero-shot capability of Large Language Models (LLMs) has enabled highly flexible, reference-free metrics for various tasks, making LLM evaluators common tools in NLP.
no code implementations • 1 Feb 2024 • Chloe Qinyu Zhu, Rickard Stureborg, Bhuwan Dhingra
Vaccine concerns are an ever-evolving target, and can shift quickly as seen during the COVID-19 pandemic.
no code implementations • 27 Oct 2023 • Chloe Qinyu Zhu, Rickard Stureborg, Brandon Fain
Language Representation Models (LRMs) trained with real-world data may capture and exacerbate undesired bias and cause unfair treatment of people in various demographic groups.
1 code implementation • 9 Mar 2023 • Dev Seth, Rickard Stureborg, Danish Pruthi, Bhuwan Dhingra
In this work, we address this gap by learning models that predict the legibility of a perturbed string, and rank candidate perturbations based on their legibility.