1 citations · 2 across the 4 of their papers we have counts for
5 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…
Evaluating Lexicon Incorporation for Depression Symptom Estimation
Kirill Milintsevich, Gaël Dias, Kairit Sirts
This paper explores the impact of incorporating sentiment, emotion, and domain-specific lexicons into a transformer-based model for depression symptom estimation. Lexicon informati…