3 citations · 3 across the 4 of their papers we have counts for
4 papers · 1 filter
Challenges in Annotating Datasets to Quantify Bias in Under-represented Society
Vithya Yogarajan, Gillian Dobbie, Timothy Pistotti +2
Recent advances in artificial intelligence, including the development of highly sophisticated large language models (LLM), have proven beneficial in many real-world applications. H…
Neuromodulation Gated Transformer
Kobe Knowles, Joshua Bensemann, Diana Benavides-Prado +4
We introduce a novel architecture, the Neuromodulation Gated Transformer (NGT), which is a simple implementation of neuromodulation in transformers via a multiplicative effect. We…
Effectiveness of Debiasing Techniques: An Indigenous Qualitative Analysis
Vithya Yogarajan, Gillian Dobbie, Henry Gouk
An indigenous perspective on the effectiveness of debiasing techniques for pre-trained language models (PLMs) is presented in this paper. The current techniques used to measure and…
The Development of a Labelled te reo Māori-English Bilingual Database for Language Technology
Jesin James, Isabella Shields, Vithya Yogarajan +4
Te reo Māori (referred to as Māori), New Zealand's indigenous language, is under-resourced in language technology. Māori speakers are bilingual, where Māori is code-switched with E…