Question answering (QA) and Machine Reading Comprehension (MRC) tasks have
significantly advanced in recent years due to the rapid development of deep learning …

The growing criticality of contextualized language models has raised concerns about the
perpetuation of biases. Current fairness research often concentrates on single aspects of …

Multimodal AI models capable of associating images and text hold promise for numerous
domains, ranging from automated image captioning to accessibility applications for blind …

This research introduces the Multilevel Embedding Association Test (ML-EAT), a method
designed for interpretable and transparent measurement of intrinsic bias in language …

The digitisation of historical documents has provided historians with unprecedented
research opportunities. Yet, the conventional approach to analysing historical documents …

Gender bias represents a form of systematic negative treatment that targets individuals
based on their gender. This discrimination can range from subtle sexist remarks and …

Open-source large language models are becoming increasingly available and popular
among researchers and practitioners. While significant progress has been made on open …

Natural Language Processing (NLP) systems have come to permeate so many areas of
daily life that it is difficult to live a day without having one or many experiences mediated by …