6 papers
Automatic Essay Scoring and Feedback Generation in Basque Language Learning
Ekhi Azurmendi, Xabier Arregi, Oier Lopez de Lacalle
This paper introduces the first publicly available dataset for Automatic Essay Scoring (AES) and feedback generation in Basque, targeting the CEFR C1 proficiency level. The dataset…
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…
Challenging the Abilities of Large Language Models in Italian: a Community Initiative
Malvina Nissim, Danilo Croce, Viviana Patti +78
The rapid progress of Large Language Models (LLMs) has transformed natural language processing and broadened its impact across research and society. Yet, systematic evaluation of t…
Euskarazko lehen C1 ebaluatzaile automatikoa
Ekhi Azurmendi, Oier Lopez de Lacalle
Throughout this project, we have attempted to develop an automatic evaluator that determines whether Basque language compositions meet the C1 level. To achieve our goal, we obtaine…
HiTZ at VarDial 2025 NorSID: Overcoming Data Scarcity with Language Transfer and Automatic Data Annotation
Jaione Bengoetxea, Mikel Zubillaga, Ekhi Azurmendi +4
In this paper we present our submission for the NorSID Shared Task as part of the 2025 VarDial Workshop (Scherrer et al., 2025), consisting of three tasks: Intent Detection, Slot F…