News

2026

Participation en IUI 2026. Human Oversight-by-Design for Accessible Generative IUIs

The HULAT-UC3M research group participates in the AI CHAOS!@IUI 2026 (ACM Conference on Intelligent User Interfaces) with the paper "Human Oversight-by-Design for Accessible Generative IUIs", authored by predoctoral researcher Blessing Jerry, along with Lourdes Moreno and Paloma Martínez.

The work lies at the intersection of Human–Computer Interaction, accessibility, and artificial intelligence, and addresses how to generate accessible user interfaces using language models, aligned with standards and adapted to different user profiles, capabilities, and usage contexts. The proposal is based on the idea that, in sensitive domains, it is not enough to automatically generate content: it is also necessary to ensure that the resulting interface is understandable, usable, and appropriate for diverse users.

The paper proposes an architecture for accessible interface generation based on structured user profiles, adaptation rules, validated templates, and traceability with respect to standards such as WCAG 2.2, EN 301 549, ISO 24495-1, and W3C COGA. Based on these elements, the system can produce adapted interfaces and content, for example, through plain language, step-by-step structuring, pictograms, or visual adjustments tailored to user needs.

In addition, the work incorporates an oversight-by-design approach, where automated evaluation acts as a risk signal and triggers human review and system adjustments when necessary. In this way, accessible interface generation is framed not only as a technical problem, but also as a matter of interaction design, governance, and responsibility in AI systems.

This work is part of the HumanAI project and reinforces the research lines of the HULAT-UC3M group on the design and evaluation of accessible technologies, with a particular focus on human-centered intelligent interfaces.

Preprint available at:
https://arxiv.org/pdf/2602.13745

 

Previous related work: https://arxiv.org/abs/2601.06616 

 

The HULAT-UC3M research group participates in LREC 2026 with a paper on accessible text generation with human participation and supervision

Overall workflow of the proposed HiTL–HoTL framework

The HULAT-UC3M research group will participate in LREC 2026 with the paper “A Human-in/on-the-Loop Framework for Accessible Text Generation”, authored by Lourdes Moreno and Paloma Martínez, and accepted in the track “Simplification, Plain Language and Assistive Technologies”.

The paper proposes a hybrid framework for plain language text generation based on a Human-in/on-the-Loop approach, combining language models with human involvement at different stages of the process. This approach integrates both direct participation during content generation and subsequent supervision of the outputs.

The proposal is structured around the use of cognitive accessibility standards, signal-based triggers for expert review, and quality indicators, with the aim of building a traceable, explainable, and auditable process. In this way, the evaluation of generated texts does not rely solely on automatic metrics, but also incorporates criteria focused on real comprehension and human validation.

This work is part of the HumanAI project and aligns with the research lines of the HULAT-UC3M group at the intersection of Natural Language Processing and Accessibility, with a particular focus on developing AI-based solutions to improve information comprehension for diverse user profiles.

Preprint available at:
https://arxiv.org/pdf/2603.18879

 

Workshop READIxTSAR Joint Workshop on Readability and Text Simplification @ LREC 2026

Rémi Cardon is taking part in the organization of READIxTSAR workshop that will be held in Palma de Mallorca, 11th May 2026 collocated with LREC 2026.

PlainHealth project accepted for funding in "Proyectos Prueba de Concepto 2025"

Logo proyecto PlainHealth We are happy to share that the project 🏥 “PlainHealth: Regulated Accessible Technology for Easier Communication and Interaction in Healthcare” (PDC2025-166375-I00) 👨‍⚕️ has been proposed for funding in the call for proposals “Proyectos Prueba de concepto” 2025 by the Spanish Research Agency.

2025

El grupo HULAT participa en la tarea TSAR del congreso EMNLP2025

El profesor Jesús M. Sánchez-Gómez presenta el artículo "HULAT-UC3M at TSAR 2025 Shared Task A Prompt-Based Approach using Lightweight Language Models for Readability-Controlled Text Simplification" en formato póster en la 4ª edición de la tarea TSARcelebrada conjuntamente con la 30ª edición del congreso EMNLP en Suzhou, China El grupo HULAT ha participado en la tarea TSAR (Readability-Controlled Text Simplification), celebrada en el marco del congreso EMNLP 2025 (Empirical Methods in Natural Language Processing) en Suzhou, China. Esta tarea ha consistido en la simplificación de textos con control de legibilidad, con el objetivo de generar simplificaciones de textos que se ajusten a un nivel de legibilidad específico, definido según el Marco Común Europeo de Referencia para las Lenguas (MCER).

El equipo HULAT-UC3M participa en la tarea ADoBo en IberLEF 2025

El equipo HULAT-UC3M participó en la tarea ADoBo en IberLEF 2025 ​​​​​​​El grupo HULAT consiguió el cuarto puesto en la tarea ADoBo 2025 (https://adobo-task.github.io/) en IberLEF 2025. Esta tarea tiene como objetivo la detección automática de anglicismos en textos en español.

HULAT consigue una doble victoria en MiSonGyny de IberLEF 2025 con Modelos Generativos Optimizados

Isabel Segura en MiSonGyny 2025 El grupo HULAT ha logrado el primer puesto en las dos tareas de la competición MiSonGyny (https://sites.google.com/view/misongyny) en IberLEF 2025. Este challenge está enfocado en la detección avanzada de contenido misógino en letras de canciones escritas en español.

El equipo HULAT-UC3M logra el primer puesto en la tarea CLEARS en IberLEF 2025

Presentación de Jesus M. Sanchez-Gomez para la tarea CLEARS en IberLEF 2025. El equipo HULAT-UC3M ha conseguido el primer puesto en una de las subtareas de CLEARS (Challenge for Plain Language and Easy-to-Read Adaptation for Spanish texts, https://sites.google.com/gcloud.ua.es/clears) en IberLEF 2025. Esta subtarea ha consistido en la adaptación de textos complejos en español a Lenguaje Claro.

HULAT, CSIC and the Vienna University of Technology present a key study for the detection of biomedical texts generated by AI.

Leonardo Campillo presentando MedAID-ML en CLEF On September 11, the HULAT (Human Language Technologies) research group, in collaboration with the Spanish National Research Council (CSIC) and TU Wien (Vienna University of Technology), presented their paper “MedAID-ML: A Multilingual Dataset of Biomedical Texts for Detecting AI-Generated Content” at the renowned international conference CLEF (Conference and Labs of the Evaluation Forum).

Easy-to-Read Language and Cognitive Accessibility at the Madrid Book Fair

foto con los ponentes: Lourdes Moreno, María Xesús Bello Rivas, Óscar García Muñoz,  José Luis García Delgado On June 11th, Lourdes Moreno participated alongside María Xesús Bello Rivas and Óscar García Muñoz in an event on easy-to-read language and cognitive accessibility. At the HULAT group, we are working on the HumanAI project in these areas.