24 citations · 24 across the 4 of their papers we have counts for
5 papers
PokemonChat: Auditing ChatGPT for Pokémon Universe Knowledge
Laura Cabello, Jiaang Li, Ilias Chalkidis
The recently released ChatGPT model demonstrates unprecedented capabilities in zero-shot question-answering. In this work, we probe ChatGPT for its conversational understanding and…
Being Right for Whose Right Reasons?
Terne Sasha Thorn Jakobsen, Laura Cabello, Anders Søgaard
Explainability methods are used to benchmark the extent to which model predictions align with human rationales i.e., are 'right for the right reasons'. Previous work has failed to…
On the Independence of Association Bias and Empirical Fairness in Language Models
Laura Cabello, Anna Katrine Jørgensen, Anders Søgaard
The societal impact of pre-trained language models has prompted researchers to probe them for strong associations between protected attributes and value-loaded terms, from slur to…
Cross-Cultural Transfer Learning for Chinese Offensive Language Detection
Li Zhou, Laura Cabello, Yong Cao +1
Detecting offensive language is a challenging task. Generalizing across different cultures and languages becomes even more challenging: besides lexical, syntactic and semantic diff…
Assessing Cross-Cultural Alignment between ChatGPT and Human Societies: An Empirical Study
Yong Cao, Li Zhou, Seolhwa Lee +3
The recent release of ChatGPT has garnered widespread recognition for its exceptional ability to generate human-like responses in dialogue. Given its usage by users from various na…