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The project FairER investigates the behavior of large-scale language models in natural language processing, focusing on their fairness and inclusiveness across different demographic groups. It aims to understand how these models' decision-making aligns with human reasoning and to identify potential biases that may affe…
Most of us use technology related to natural language processing (NLP) such as Google Search or virtual assistants in phones and other devices on a daily basis.
Large-scale pre-trained language models hereby play a crucial role as they often form the basis of those technologies.
Those models are trained on a large amount of training data (e.g. the entire English Wikipedia and the Brown corpus) which makes it impossible to curate the training corpus and potential stereotypes and biases will be im…
KOBENHAVNS UNIVERSITET
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