1 citations · 1 across the 3 of their papers we have counts for
4 papers
Inclusive Easy-to-Read Generation for Individuals with Cognitive Impairments
François Ledoyen, Gaël Dias, Alexis Lechervy +8
Ensuring accessibility for individuals with cognitive impairments is essential for autonomy, self-determination, and full citizenship. However, manual Easy-to-Read (ETR) text adapt…
Facilitating Cognitive Accessibility with LLMs: A Multi-Task Approach to Easy-to-Read Text Generation
François Ledoyen, Gaël Dias, Jeremie Pantin +3
Simplifying complex texts is essential for ensuring equitable access to information, especially for individuals with cognitive impairments. The Easy-to-Read (ETR) initiative offers…
Are LLMs Enough for Hyperpartisan, Fake, Polarized and Harmful Content Detection? Evaluating In-Context Learning vs. Fine-Tuning
Michele Joshua Maggini, Dhia Merzougui, Rabiraj Bandyopadhyay +3
The spread of fake news, polarizing, politically biased, and harmful content on online platforms has been a serious concern. With large language models becoming a promising approac…
Integrating Probabilistic Trees and Causal Networks for Clinical and Epidemiological Data
Sheresh Zahoor, Pietro Liò, Gaël Dias +1
Healthcare decision-making requires not only accurate predictions but also insights into how factors influence patient outcomes. While traditional Machine Learning (ML) models exce…