2 citations · 3 across the 9 of their papers we have counts for
9 papers
SemEval-2026 Task 7: Everyday Knowledge Across Diverse Languages and Cultures
Nedjma Ousidhoum, Junho Myung, Carla Perez-Almendros +27
We present our shared task on evaluating the adaptability of LLMs and NLP systems across multiple languages and cultures. The task data consist of an extended version of our manual…
Why are all LLMs Obsessed with Japanese Culture? On the Hidden Cultural and Regional Biases of LLMs
Joseba Fernandez de Landa, Carla Perez-Almendros, Jose Camacho-Collados
LLMs have limitations when it comes to cultural coverage and competence, and in some cases, show specific cultural biases. Although prior studies have examined the cultural capabil…
BERnaT: Basque Encoders for Representing Natural Textual Diversity
Ekhi Azurmendi, Joseba Fernandez de Landa, Jaione Bengoetxea +5
Language models depend on massive text corpora that are often filtered for quality, a process that can unintentionally exclude non-standard linguistic varieties, reduce model robus…
Instructing Large Language Models for Low-Resource Languages: A Systematic Study for Basque
Oscar Sainz, Naiara Perez, Julen Etxaniz +9
Instructing language models with user intent requires large instruction datasets, which are only available for a limited set of languages. In this paper, we explore alternatives to…
HTIM: Hybrid Text-Interaction Modeling for Broadening Political Leaning Inference in Social Media
Joseba Fernandez de Landa, Arkaitz Zubiaga, Rodrigo Agerri
Political leaning can be defined as the inclination of an individual towards certain political orientations that align with their personal beliefs. Political leaning inference has…
Political Leaning Inference through Plurinational Scenarios
Joseba Fernandez de Landa, Rodrigo Agerri
Social media users express their political preferences via interaction with other users, by spontaneous declarations or by participation in communities within the network. This mak…