Redefining Digital Health Interfaces with Large Language Models

1 code implementation • 5 Oct 2023 • Fergus Imrie, Paulius Rauba, Mihaela van der Schaar

We develop a new prognostic tool using automated machine learning and demonstrate how LLMs can provide a unique interface to both our model and existing risk scores, highlighting the benefit compared to traditional interfaces for digital tools.

Memes in the Wild: Assessing the Generalizability of the Hateful Memes Challenge Dataset

no code implementations • ACL (WOAH) 2021 • Hannah Rose Kirk, Yennie Jun, Paulius Rauba, Gal Wachtel, Ruining Li, Xingjian Bai, Noah Broestl, Martin Doff-Sotta, Aleksandar Shtedritski, Yuki M. Asano

In this paper, we collect hateful and non-hateful memes from Pinterest to evaluate out-of-sample performance on models pre-trained on the Facebook dataset.

Optical Character Recognition (OCR)