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Text-To-Image (TTI) Diffusion Models such as DALL-E and Stable Diffusion are capable of generating images from text prompts. However, they have been shown to perpetuate gender stereotypes. These models process data internally in multiple stages and e
Externí odkaz:
http://arxiv.org/abs/2410.07884
Autor:
Ruan, Qin, Xu, Jin, Dong, Ruihai, Younus, Arjumand, Mai, Tai Tan, O'Sullivan, Barry, Leavy, Susan
Societal risk emanating from how recommender algorithms disseminate content online is now well documented. Emergent regulation aims to mitigate this risk through ethical audits and enabling new research on the social impact of algorithms. However, th
Externí odkaz:
http://arxiv.org/abs/2409.12396
Autor:
Bartl, Marion, Leavy, Susan
Gender bias is not only prevalent in Large Language Models (LLMs) and their training data, but also firmly ingrained into the structural aspects of language itself. Therefore, adapting linguistic structures within LLM training data to promote gender-
Externí odkaz:
http://arxiv.org/abs/2407.04434
Autor:
Leavy, Sebastián, Allegretti, Gabriela, Presotto, Elen, Montoya, Marco Antonio, Talamini, Edson
Publikováno v:
Sustainability 2024, 16(20), 8727
Despite its relevance, measuring the contributions of the bioeconomy to national economies remains an arduous task that faces limitations. Part of the difficulty is associated with the lack of a clear and widely accepted concept of the bioeconomy and
Externí odkaz:
http://arxiv.org/abs/2403.08886
Health care utilization at the end of life in Parkinson’s disease: a population-based register study
Publikováno v:
BMC Palliative Care, Vol 23, Iss 1, Pp 1-9 (2024)
Abstract Background Knowledge of health care utilization at the end of life in Parkinson’s disease (PD) is sparse. This study aims to investigate end of life health care utilization, characterized by emergency room (ER) visits, receipt of specializ
Externí odkaz:
https://doaj.org/article/0032e99bbe39475ba4be5d0698b6e77f
Deep neural networks used in computer vision have been shown to exhibit many social biases such as gender bias. Vision Transformers (ViTs) have become increasingly popular in computer vision applications, outperforming Convolutional Neural Networks (
Externí odkaz:
http://arxiv.org/abs/2309.08760
Deep learning based visual-linguistic multimodal models such as Contrastive Language Image Pre-training (CLIP) have become increasingly popular recently and are used within text-to-image generative models such as DALL-E and Stable Diffusion. However,
Externí odkaz:
http://arxiv.org/abs/2309.04997
Publikováno v:
ECML PKDD 2018. Lecture Notes in Computer Science(), vol 11053. Springer, Cham
We present a text mining system to support the exploration of large volumes of text detailing the findings of government inquiries. Despite their historical significance and potential societal impact, key findings of inquiries are often hidden within
Externí odkaz:
http://arxiv.org/abs/2308.02556
Publikováno v:
Metadata and Semantic Research (MTSR 2019), Communications in Computer and Information Science, vol 1057. Springer, Cham
The increasing availability of digital collections of historical and contemporary literature presents a wealth of possibilities for new research in the humanities. The scale and diversity of such collections however, presents particular challenges in
Externí odkaz:
http://arxiv.org/abs/2306.08020
Generative multimodal models based on diffusion models have seen tremendous growth and advances in recent years. Models such as DALL-E and Stable Diffusion have become increasingly popular and successful at creating images from texts, often combining
Externí odkaz:
http://arxiv.org/abs/2304.13855