Memes in the Wild: Assessing the Generalizability of the Hateful Memes Challenge Dataset. - Hannah Rose Kirk; Yennie Jun; Paulius Rauba; Gal Wachtel; Ruining Li; Xingjian Bai; Noah Broestl; Martin Doff-Sotta; Aleksandar Shtedritski; Yuki Markus Asano (CoRR, 2021)

Redefining Digital Health Interfaces with Large Language Models. - Fergus Imrie; Paulius Rauba; Mihaela van der Schaar (CoRR, 2023)

Self-Healing Machine Learning: A Framework for Autonomous Adaptation in Real-World Environments. - Paulius Rauba; Nabeel Seedat; Krzysztof Kacprzyk; Mihaela van der Schaar (NeurIPS, 2024)

Context-Aware Testing: A New Paradigm for Model Testing with Large Language Models. - Paulius Rauba; Nabeel Seedat; Max Ruiz Luyten; Mihaela van der Schaar (NeurIPS, 2024)

Quantifying perturbation impacts for large language models. - Paulius Rauba; Qiyao Wei; Mihaela van der Schaar (CoRR, 2024)

Visualizing token importance for black-box language models. - Paulius Rauba; Qiyao Wei; Mihaela van der Schaar (AISTATS, 2025)

Statistical Hypothesis Testing for Auditing Robustness in Language Models. - Paulius Rauba; Qiyao Wei; Mihaela van der Schaar (CoRR, 2025)